* edwin/TreeAlgorithmsComp/dual/dual.hh
* edwin/TreeAlgorithmsComp/dual/dual_main
* edwin/TreeAlgorithmsComp/dual/dual_main.cc
* edwin/TreeAlgorithmsComp/dual/wilkinson_ref.c
* edwin/TreeAlgorithmsComp/makefile.rules
* edwin/TreeAlgorithmsComp/max_tree.cc
* edwin/TreeAlgorithmsComp/max_tree_with_rank.cc
* edwin/TreeAlgorithmsComp/parallel_apply.hh
* edwin/TreeAlgorithmsComp/parallel_union_find.hh
* edwin/TreeAlgorithmsComp/tbb_union_find_8.cc
* edwin/TreeAlgorithmsComp/test_salembier_fast_16.cc
* edwin/TreeAlgorithmsComp/test_salembier_fast_8.cc
* edwin/TreeAlgorithmsComp/test_union_find_fast_16.cc
* edwin/TreeAlgorithmsComp/test_union_find_fast_8.cc
---
milena/sandbox/ChangeLog | 20 +
.../sandbox/edwin/TreeAlgorithmsComp/dual/dual.hh | 52 ++
.../edwin/TreeAlgorithmsComp/dual/dual_main | Bin 0 -> 770633 bytes
.../edwin/TreeAlgorithmsComp/dual/dual_main.cc | 34 +
.../edwin/TreeAlgorithmsComp/dual/wilkinson_ref.c | 738 ++++++++++++++++++++
.../edwin/TreeAlgorithmsComp/makefile.rules | 1 +
.../sandbox/edwin/TreeAlgorithmsComp/max_tree.cc | 232 ++++++
.../edwin/TreeAlgorithmsComp/max_tree_with_rank.cc | 201 ++++++
.../edwin/TreeAlgorithmsComp/parallel_apply.hh | 89 +++
.../TreeAlgorithmsComp/parallel_union_find.hh | 394 +++++++++++
.../edwin/TreeAlgorithmsComp/tbb_union_find_8.cc | 59 ++
.../TreeAlgorithmsComp/test_salembier_fast_16.cc | 62 ++
.../TreeAlgorithmsComp/test_salembier_fast_8.cc | 62 ++
.../TreeAlgorithmsComp/test_union_find_fast_16.cc | 62 ++
.../TreeAlgorithmsComp/test_union_find_fast_8.cc | 62 ++
15 files changed, 2068 insertions(+), 0 deletions(-)
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual.hh
create mode 100755 milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual_main
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual_main.cc
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/dual/wilkinson_ref.c
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/makefile.rules
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/max_tree.cc
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/max_tree_with_rank.cc
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/parallel_apply.hh
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/parallel_union_find.hh
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/tbb_union_find_8.cc
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/test_salembier_fast_16.cc
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/test_salembier_fast_8.cc
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/test_union_find_fast_16.cc
create mode 100644 milena/sandbox/edwin/TreeAlgorithmsComp/test_union_find_fast_8.cc
diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog
index 9e7f25b..15f7fa8 100644
--- a/milena/sandbox/ChangeLog
+++ b/milena/sandbox/ChangeLog
@@ -1,3 +1,23 @@
+2010-05-04 edwin carlinet <carlinet(a)lrde.epita.fr>
+
+ Comparison of tree build algorithms.
+
+ * edwin/TreeAlgorithmsComp/dual/dual.hh,
+ * edwin/TreeAlgorithmsComp/dual/dual_main,
+ * edwin/TreeAlgorithmsComp/dual/dual_main.cc,
+ * edwin/TreeAlgorithmsComp/dual/wilkinson_ref.c,
+ * edwin/TreeAlgorithmsComp/makefile.rules,
+ * edwin/TreeAlgorithmsComp/max_tree.cc,
+ * edwin/TreeAlgorithmsComp/max_tree_with_rank.cc,
+ * edwin/TreeAlgorithmsComp/parallel_apply.hh,
+ * edwin/TreeAlgorithmsComp/parallel_union_find.hh,
+ * edwin/TreeAlgorithmsComp/tbb_union_find_8.cc,
+ * edwin/TreeAlgorithmsComp/test_salembier_fast_16.cc,
+ * edwin/TreeAlgorithmsComp/test_salembier_fast_8.cc,
+ * edwin/TreeAlgorithmsComp/test_union_find_fast_16.cc,
+ * edwin/TreeAlgorithmsComp/test_union_find_fast_8.cc:
+ Comparison algorithms.
+
2009-11-17 Thierry Geraud <thierry.geraud(a)lrde.epita.fr>
Add some bench + canvas + subsampling + browsing code.
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual.hh
b/milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual.hh
new file mode 100644
index 0000000..23995e1
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual.hh
@@ -0,0 +1,52 @@
+#ifndef DUAL_HH_
+# define DUAL_HH_
+
+#include <mln/border/all.hh>
+#include <mln/core/image/image2d.hh>
+#include <mln/core/alias/neighb2d.hh>
+#include <mln/morpho/tree/dual_input_tree.hh>
+#include <mln/core/image/attribute_image.hh>
+#include <mln/morpho/attribute/card.hh>
+#include <mln/value/int_u8.hh>
+#include <mln/debug/ctree.hh>
+#include <mln/io/pgm/save.hh>
+
+using namespace mln;
+
+typedef value::int_u8 V;
+typedef image2d<V> I;
+typedef util::ctree::ctree<I> tree_t;
+typedef morpho::attribute::card<I> attr_t;
+typedef mln_result_(attr_t) S;
+typedef attribute_image<tree_t, S > A;
+typedef neighb2d N;
+
+using value::int_u8;
+
+
+void
+inline
+test(const int_u8* f_, const int_u8* m_, int n)
+{
+ box<point2d> domain(point2d(0, 0), point2d(0, n-1));
+ image2d<int_u8> f(domain), m(domain);
+ N nbh = c4();
+ for (int i = 0; i < n ; ++i)
+ {
+ f.at_(0, i) = f_[i];
+ m.at_(0, i) = m_[i];
+ }
+
+ io::pgm::save(f, "input.pgm");
+ io::pgm::save(m, "mask.pgm");
+
+ tree_t tree = morpho::tree::dual_input_max_tree(f, m, nbh);
+ std::cout << "Volume info " << "" << std::endl
+ << "\tSize: " << geom::nsites(f) << std::endl
+ << "\tQuant: " << sizeof(V) * 4 << std::endl
+ << "\tNodes: " << tree.n_nodes() << std::endl;
+
+ debug::println(tree);
+}
+
+#endif
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual_main
b/milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual_main
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diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual_main.cc
b/milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual_main.cc
new file mode 100644
index 0000000..d895fcb
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/dual/dual_main.cc
@@ -0,0 +1,34 @@
+#include "dual.hh"
+
+int main(int argc, char** argv)
+{
+ {
+ int_u8 f[] = {2, 1, 2};
+ int_u8 m[] = {2, 2, 2};
+ int n = sizeof(f);
+ test(f, m, n);
+ }
+
+ {
+ int_u8 f[] = {2, 1, 1, 2, 0};
+ int_u8 m[] = {2, 3, 3, 2, 3};
+ int n = sizeof(f);
+ test(f, m, n);
+ }
+
+ // With internmediate level creation
+ {
+ int_u8 f[] = {10, 1, 1, 10, 5, 10, 5};
+ int_u8 m[] = {12, 8, 8, 12, 12, 12, 5};
+ int n = sizeof(f);
+ test(f, m, n);
+ }
+
+ // With singleton creation
+ {
+ int_u8 f[] = {15, 1, 1, 15, 18, 5};
+ int_u8 m[] = {12, 8, 8, 12, 12, 5};
+ int n = sizeof(f);
+ test(f, m, n);
+ }
+}
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/dual/wilkinson_ref.c
b/milena/sandbox/edwin/TreeAlgorithmsComp/dual/wilkinson_ref.c
new file mode 100644
index 0000000..fea9ddf
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/dual/wilkinson_ref.c
@@ -0,0 +1,738 @@
+/**********************************************************/
+/* */
+/* Area/shape preserving extensive and anti-extensive */
+/* operators using Max-Trees */
+/* */
+/* by Georgios K Ouzounis - Jan. 2004 */
+/* original Max-Tree code by Erik Urbach June 2000. */
+/* */
+/**********************************************************/
+
+#include <assert.h>
+#include <stddef.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <time.h>
+#include <sys/times.h>
+#include <unistd.h>
+
+#include <FreeImage.h>
+
+
+typedef short bool;
+#define false 0
+#define true 1
+
+typedef unsigned char ubyte;
+
+typedef unsigned short greyval;
+
+
+
+#define NUMLEVELS 65536
+#define CONNECTIVITY 4
+
+double kbase, background = 0, alpha=0;
+
+typedef struct FIFOQueue
+{
+ long *Pixels;
+ long Head;
+ long Tail; /* First free place in queue, or -1 when the queue is full */
+} FIFOQueue;
+
+
+
+/*** Max-Tree definition ***/
+
+typedef struct MaxNode MaxNode;
+typedef struct MaxNode *MaxTree;
+
+/* MaxNode Status */
+#define MTS_Ok 0
+#define MTS_Deleted 1
+
+struct MaxNode
+{
+ long Parent;
+ long Status;
+ long Area;
+ int PeakLevel;
+ int kPrime;
+ int Level;
+ int NewLevel;
+};
+
+MaxTree Tree;
+
+
+
+/*** Globals used by Max-Tree ***/
+
+long numbernodes[NUMLEVELS]; /* Number of nodes C^k_h at level h */
+greyval **P_ORI; /* Denotes the original gray level value of pixel p in processed
image*/
+greyval **ORI; /* Denotes the original ... in the unproceesed input image */
+
+/* STATUS stores the information of the pixel status: the pixel can be
+ * NotAnalyzed, InTheQueue or assigned to node k at level h. In this
+ * last case STATUS(p)=k. */
+#define ST_NotAnalyzed -1
+#define ST_InTheQueue -2
+long *STATUS;
+
+bool NodeAtLevel[NUMLEVELS];
+
+/*** HQueue globals ***/
+long MaxPixelsPerLevel[NUMLEVELS]; /* Original image */
+long PMaxPixelsPerLevel[NUMLEVELS]; /* Processed image */
+FIFOQueue HQueue[NUMLEVELS];
+
+/*** Other globals ***/
+long ImageWidth;
+long ImageHeight;
+long ImageSize;
+long NumPlanes;
+
+long NumPixelsBelowLevel[NUMLEVELS];
+long PNumPixelsBelowLevel[NUMLEVELS];
+
+#define ReadPixel(t,i,h) (t[NumPixelsBelowLevel[h]+i].NewLevel)
+
+/*** Queue functions ***/
+#define HQueueFirst(h) (HQueue[h].Pixels[HQueue[h].Head++])
+#define HQueueAdd(h,p) HQueue[h].Pixels[HQueue[h].Tail++] = p
+#define HQueueNotEmpty(h) (HQueue[h].Head != HQueue[h].Tail)
+void HQueueCreate(void);
+void HQueueDelete(void);
+
+/***********************************************/
+/* HQueue is an array segmented based on the */
+/* processed image histogram. */
+/***********************************************/
+
+void HQueueCreate(void)
+{
+ int i;
+
+ HQueue->Pixels = calloc((size_t)2*ImageSize, sizeof(long));
+ assert(HQueue->Pixels != NULL);
+ HQueue->Head = HQueue->Tail = 0;
+ for (i=1; i<NUMLEVELS; i++)
+ {
+ HQueue[i].Pixels = HQueue[i-1].Pixels + PMaxPixelsPerLevel[i-1] +
MaxPixelsPerLevel[i-1];
+ HQueue[i].Head = HQueue[i].Tail = 0;
+ }
+
+} /* HQueueCreate */
+
+
+/***********************************************/
+/* Image I/O functions */
+/***********************************************/
+
+
+
+/** Generic image loader
+@param lpszPathName Pointer to the full file name
+@param flag Optional load flag constant
+@return Returns the loaded dib if successful, returns NULL otherwise
+*/
+FIBITMAP* GenericLoader(const char* lpszPathName, int flag) {
+ FREE_IMAGE_FORMAT fif = FIF_UNKNOWN;
+// check the file signature and deduce its format
+// (the second argument is currently not used by FreeImage)
+ fif = FreeImage_GetFileType(lpszPathName, 0);
+ if(fif == FIF_UNKNOWN) {
+ // no signature ?
+ // try to guess the file format from the file extension
+ fif = FreeImage_GetFIFFromFilename(lpszPathName);
+ }
+ // check that the plugin has reading capabilities ...
+ if((fif != FIF_UNKNOWN) && FreeImage_FIFSupportsReading(fif)) {
+ // ok, let's load the file
+ FIBITMAP *dib = FreeImage_Load(fif, lpszPathName, flag);
+ // unless a bad file format, we are done !
+ return dib;
+ }
+ return NULL;
+}
+
+greyval **ReadTIFF(char *fnm, long *width, long *height, long *numplanes){
+ FIBITMAP *dib = GenericLoader(fnm,0);
+ unsigned long bitsperpixel;
+ greyval **im;
+ unsigned int x,y,i,j,imsize;
+ if (dib == NULL) return NULL;
+
+ bitsperpixel = FreeImage_GetBPP(dib);
+ *numplanes=1;
+ if ((bitsperpixel==24) ||(bitsperpixel==48))
+ *numplanes=3;
+ *height = FreeImage_GetHeight(dib),
+ *width = FreeImage_GetWidth(dib);
+
+ imsize = (*width)*(*height);
+ im = calloc((size_t)*numplanes, sizeof(greyval *));
+ assert(im!=NULL);
+ for (i=0;i<*numplanes;i++){
+ im[i] = calloc((size_t)imsize, sizeof(greyval));
+ assert(im[i]!=NULL);
+ }
+ switch(bitsperpixel) {
+ case 8 :
+ i=0;
+ for(y = 0; y <*height; y++) {
+ BYTE *bits = (BYTE *)FreeImage_GetScanLine(dib, *height - y -1);
+ //printf("y=%d\n",y);
+ for(x = 0; x < *width; x++,i++) {
+ im[0][i] = bits[x];
+ }
+ }
+
+ FreeImage_Unload(dib);
+ return im;
+ case 16 :
+ i=0;
+ for(y = 0; y < *height; y++) {
+ unsigned short *bits = (unsigned short *)FreeImage_GetScanLine(dib,*height - y
-1);
+ for(x = 0; x < *width; x++,i++) {
+ im[0][i] = bits[x];
+ }
+ }
+ FreeImage_Unload(dib);
+ return im;
+ case 24 :
+ i=0;
+ for(y = 0; y <*height; y++) {
+ BYTE *bits = (BYTE *)FreeImage_GetScanLine(dib, *height - y -1);
+ //printf("y=%d\n",y);
+ for(x = 0; x < *width; x++,i++) {
+ for (j=0;j<*numplanes;j++)
+ im[j][i] = bits[3*x+j];
+ }
+ }
+
+ FreeImage_Unload(dib);
+ return im;
+ case 48 :
+ i=0;
+ for(y = 0; y <*height; y++) {
+ unsigned short *bits = (unsigned short *)FreeImage_GetScanLine(dib, *height - y
-1);
+ //printf("y=%d\n",y);
+ for(x = 0; x < *width; x++,i++) {
+ for (j=0;j<*numplanes;j++)
+ im[j][i] = bits[3*x+j];
+ }
+ }
+
+ FreeImage_Unload(dib);
+ return im;
+
+ default :
+ FreeImage_Unload(dib);
+ fprintf(stderr, "unsupported format\n"); exit(-1);
+ return NULL;
+ }
+
+}
+
+
+void WriteTIFF(char *fname, long width, long height, int bitspp, long numplanes){
+ FIBITMAP *outmap;
+ long i,j,y,x,plane;
+ FREE_IMAGE_FORMAT fif = FreeImage_GetFIFFromFilename(fname);
+
+ if (bitspp == 8){
+ ubyte *imagebuf;
+ RGBQUAD *pal;
+ outmap =
FreeImage_AllocateT(FIT_BITMAP,width,height,numplanes*bitspp,0xFF,0xFF,0xFF);
+ if (numplanes==1){
+ pal = FreeImage_GetPalette(outmap);
+ for (i = 0; i < 256; i++) {
+ pal[i].rgbRed = i;
+ pal[i].rgbGreen = i;
+ pal[i].rgbBlue = i;
+ }
+ }
+ i = 0;
+ for (j=height-1; j>=0; j--){
+ imagebuf = FreeImage_GetScanLine(outmap,j);
+ for (x=0;x<width;x++,i++)
+ for (plane=0;plane<numplanes;plane++)
+ imagebuf[numplanes*x+plane]=ORI[plane][i];
+ }
+
+ } else {
+ greyval *imagebuf;
+ if (numplanes==1)
+ outmap = FreeImage_AllocateT(FIT_UINT16,width,height,16,0xFFFF,0xFFFF,0xFFFF);
+ else
+ outmap = FreeImage_AllocateT(FIT_RGB16,width,height,48,0xFFFF,0xFFFF,0xFFFF);
+
+ i = 0;
+ for (j=height-1; j>=0; j--){
+ imagebuf = (greyval *)FreeImage_GetScanLine(outmap,j);
+ for (x=0;x<width;x++,i++)
+ for (plane=0;plane<numplanes;plane++)
+ imagebuf[numplanes*x+plane]=ORI[plane][i];
+
+ }
+ }
+
+ FreeImage_Save(fif,outmap,fname,0);
+ FreeImage_Unload(outmap);
+
+}
+
+
+void ReadPGM(char *fname,short buffer)
+{
+ long width, height;
+ int c;
+
+
+ if(buffer==1)
+ {
+ ORI = ReadTIFF( fname, &width, &height, &NumPlanes);
+ ImageWidth = width;
+ ImageHeight = height;
+ ImageSize = width*height;
+
+ }
+ else
+ {
+ P_ORI = ReadTIFF(fname, &width, &height, &NumPlanes);
+ ImageWidth = width;
+ ImageHeight = height;
+ ImageSize = width*height;
+ }
+
+} /* ReadPGM */
+
+
+greyval FindMax(greyval *buf, long width, long height){
+ greyval max = buf[0];
+ long i,size = width*height;
+ for (i = 1; i<size;i++){
+ max = (buf[i]>max) ? buf[i] : max;
+ }
+ return max;
+}
+
+
+void WritePGM(char *fname, long width, long height, long numplanes)
+{
+
+
+ if (FindMax(ORI[0],width,height)>255)
+ WriteTIFF(fname, width, height, 16, numplanes);
+ else
+ WriteTIFF(fname, width, height, 8, numplanes);
+
+
+} /* WritePGM */
+
+/***********************************************/
+/* Setting up the Max-Tree structure */
+/* MaxPixelsPerLevel already initialized */
+/***********************************************/
+
+MaxTree MaxTreeCreate(long size)
+{
+ MaxTree t;
+ int i;
+
+ t = calloc((size_t)2*size, sizeof(MaxNode));
+ if (t)
+ {
+ *NumPixelsBelowLevel = 0;
+ for (i=1; i<NUMLEVELS; i++)
+ {
+ NumPixelsBelowLevel[i] = NumPixelsBelowLevel[i-1] + MaxPixelsPerLevel[i-1] +
PMaxPixelsPerLevel[i-1];
+ }
+ }
+ return(t);
+} /* MaxTreeCreate */
+
+/***************************************************/
+/* Finds a pixel of minimum intensity in the image */
+/* MaxPixelsPerLevel : Histogram of original image */
+/* PMaxPixelsPerLevel: Histogram of processed image*/
+/***************************************************/
+
+long FindHMinPixel(greyval *ORI,greyval *P_ORI)
+/* */
+{
+ long i, p=0;
+
+ /* initialise level entries */
+ for (i=0; i<NUMLEVELS; i++)
+ {
+ MaxPixelsPerLevel[i] = 0;
+ PMaxPixelsPerLevel[i] = 0;
+ }
+ /* compute histogram */
+ for (i=0; i<ImageSize; i++)
+ {
+ MaxPixelsPerLevel[ORI[i]]++;
+ PMaxPixelsPerLevel[P_ORI[i]]++;
+ if (P_ORI[i]<P_ORI[p]) p = i;
+ }
+ return(p);
+} /* FindHMinPixel */
+
+/***********************************************/
+/* Retrieves the neighbors of pixel p */
+/***********************************************/
+
+int GetNeighbors(long p, long *neighbors)
+{
+ long x;
+ int n=0;
+
+ x = p % ImageWidth;
+ if (x<(ImageWidth-1)) neighbors[n++] = p+1;
+ if (p>=ImageWidth) neighbors[n++] = p-ImageWidth;
+ if (x>0) neighbors[n++] = p-1;
+ p += ImageWidth;
+ if (p<ImageSize) neighbors[n++] = p;
+ return(n);
+} /* GetNeighbors */
+
+
+/***********************************************/
+/* Max-Tree Creation: Here it is the modified */
+/* image that is being processed */
+/***********************************************/
+
+int flood(greyval *ORI, greyval *P_ORI, int h,
+ long *thisarea, int *thispeaklevel)
+{
+ long neighbors[CONNECTIVITY];
+ long p, q,idx;
+ long area = *thisarea, childarea;
+ int numneighbors, i, m, level, peaklevel = h, childpeaklevel;
+ MaxNode *node;
+
+ while(HQueueNotEmpty(h)){
+ p = HQueueFirst(h);
+ STATUS[p] = numbernodes[ORI[p]]; /* in all cases */
+
+ if(ORI[p]!=h){/* unstable regions */
+ level = ORI[p];
+ NodeAtLevel[level]=true;
+
+ /* Detect the node */
+ node = Tree + (NumPixelsBelowLevel[level] + numbernodes[level]);
+ node->Area++;
+ peaklevel = (peaklevel<level)? level : peaklevel;
+ if(level>h){ /* Anti-extensive case */
+
+ /* set the singleton node at ORI[p]*/
+ node->Parent = NumPixelsBelowLevel[h] + numbernodes[h];
+ node->Status = MTS_Ok;
+ node->Level = level;
+ node->PeakLevel = level;
+ numbernodes[level] += 1; /* increase this for next time */
+ NodeAtLevel[level] = false; /* finalise this node */
+ area++; /* Need to update the parent area also */
+ }
+ }else /* Stable or background regions */
+ area++;
+ /* process the neighbors */
+ numneighbors = GetNeighbors(p, neighbors);
+ for (i=0; i<numneighbors; i++){
+ q = neighbors[i];
+ if (STATUS[q]==ST_NotAnalyzed){
+ HQueueAdd(P_ORI[q],q);
+ STATUS[q] = ST_InTheQueue;
+ NodeAtLevel[P_ORI[q]] = true;
+ /* The neighbor is greater than p */
+ if (P_ORI[q] > P_ORI[p])
+ {
+ m = P_ORI[q];
+ childarea = 0;
+ childpeaklevel = m;
+ do
+ {
+ m = flood(ORI, P_ORI, m, &childarea,&childpeaklevel);
+ } while (m!=h);
+ area += childarea;
+ peaklevel = (peaklevel<childpeaklevel)? childpeaklevel : peaklevel;
+ }
+ }
+ }
+ }/* end of while loop*/
+
+ /* Retrieve the parent and finalise the node*/
+ numbernodes[h] = numbernodes[h]+1;
+ m = h-1;
+ while ((m>=0) && (NodeAtLevel[m]==false)) m--;
+ if (m>=0)
+ {
+ node = Tree + (NumPixelsBelowLevel[h] + numbernodes[h]-1);
+ node->Parent = NumPixelsBelowLevel[m] + numbernodes[m];
+ }
+ else
+ {
+ idx = NumPixelsBelowLevel[h];
+ node = Tree + idx;
+ node->Parent = idx;
+ }
+ node->Area += area;
+ node->Status = MTS_Ok;
+ node->Level = h;
+ node->PeakLevel = h;
+ NodeAtLevel[h] = false;
+ *thisarea = node->Area;
+ *thispeaklevel = node->PeakLevel;
+ return(m);
+} /* flood */
+
+
+/***********************************************/
+/* Filtering Functions */
+/***********************************************/
+
+typedef long (*kFunc)(long);
+
+long kflatConstant(long greylevel){
+ return (long) kbase;
+}
+
+long kflatLinear(long greylevel){
+ return (long) (kbase*(double)greylevel/100.0);
+}
+
+
+void MaxTreeProcessNode(MaxTree t, long lambda, long idx, kFunc kf, long maxarea)
+/* Deletes node idx and possible one or more of its parents. */
+{
+ long k,parent, diflevel,newlevel;
+
+ parent = t[idx].Parent;
+
+ diflevel = t[idx].Level - t[parent].Level;
+ newlevel = t[parent].NewLevel + diflevel;
+ k = (*kf)(newlevel);
+ if ((t[idx].PeakLevel - t[parent].Level> k) && (t[idx].Area>=lambda)
&&(t[idx].Area<=maxarea)){
+ t[idx].NewLevel = t[parent].NewLevel + diflevel;
+ t[idx].kPrime = k;
+ } else {
+ if (diflevel>t[parent].kPrime){
+ t[idx].NewLevel = t[parent].NewLevel + t[parent].kPrime;
+ t[idx].kPrime = 0;
+ } else {
+ t[idx].NewLevel = t[parent].NewLevel + diflevel;
+ t[idx].kPrime = t[parent].kPrime - diflevel;
+ }
+ }
+
+} /* MaxTreeProcessNode */
+
+void SetPeakLevels(MaxTree t)
+{
+ long i, idx,parent;
+ int h;
+
+ for ( h= NUMLEVELS-1; h>=0;h-- )
+ {
+ for (i=0; i<numbernodes[h]; i++)
+ {
+ idx = NumPixelsBelowLevel[h] + i;
+ parent = t[idx].Parent;
+ if (t[parent].PeakLevel < t[idx].PeakLevel)
+ t[parent].PeakLevel = t[idx].PeakLevel;
+ }
+
+ }
+
+} /* SetPeakLevels */
+
+
+void MaxTreeFilter(greyval *ORI, MaxTree t, long lambda, kFunc k, long maxarea)
+{
+ long i, idx;
+ int h=0;
+
+ SetPeakLevels(t);
+ while (numbernodes[h]==0)
+ h++; /* find root*/
+ /*process root*/
+
+ idx = NumPixelsBelowLevel[h];
+
+ if ((t[idx].Area>=lambda) &&(t[idx].Area<=maxarea)){
+ t[idx].kPrime = (*k)(t[idx].Level);
+
+ t[idx].NewLevel = t[idx].Level;
+ } else {
+ t[idx].kPrime = 0;
+ t[idx].NewLevel = 0;
+ }
+
+ h++;
+
+ while ( h< NUMLEVELS )
+ {
+ for (i=0; i<numbernodes[h]; i++)
+ {
+ idx = NumPixelsBelowLevel[h] + i;
+ MaxTreeProcessNode(t, lambda, idx, k,maxarea);
+ }
+ h++;
+ }
+ /* Modify the output image */
+ for (i=0; i<ImageSize; i++)
+ ORI[i] = ReadPixel(t, STATUS[i], ORI[i]);
+
+} /* MaxTreeFilter */
+
+/* --------------------------------------------------------------- */
+/* Notes : If the attribute threshold lambda is set to a large */
+/* value, the extensive log reports the parent node index */
+/* as a number out of the node index range for that level.*/
+/* That is because although the node level reduces, the */
+/* parents of each child nodes above that are different. */
+/* --------------------------------------------------------------- */
+
+
+
+
+/***********************************************/
+/* Initialisation */
+/***********************************************/
+
+void InitLevels(void)
+{
+ int i;
+
+ for (i=0; i<NUMLEVELS; i++)
+ {
+ numbernodes[i] = 0;
+ NodeAtLevel[i] = false;
+ }
+} /* InitLevels */
+
+
+void CreateLog(MaxTree t,int hmin, char *fname1, char *fname2)
+{
+ FILE *fp;
+ int l,i;
+ long idx,area,level,parent,status, parent_level, parent_node;
+
+ fp = fopen("MaxTreeReport.txt","a");
+ fprintf(fp,"\n--- Start of Session ---\n");
+ fprintf(fp,"Filenames: '%s' - '%s'\n",fname1, fname2);
+ fprintf(fp,"Image Size %d\n",ImageSize);
+ fprintf(fp,"h_min:%d\n",hmin);
+
+ for (l=NUMLEVELS-1; l>=0; l--)
+ {
+ for (i=0; i<numbernodes[l]; i++)
+ {
+ idx = NumPixelsBelowLevel[l] + i;
+ level = t[idx].Level;
+ area = t[idx].Area;
+ parent = t[idx].Parent;
+ /* parent level*/
+ parent_level = t[parent].Level;
+ parent_node = parent - NumPixelsBelowLevel[parent_level];
+ status = t[idx].Status;
+ /*if(status==0)*/
+ fprintf(fp,"level: %d, node: %d, area: %d, parent_level: %d, parent_node: %d,
status: %d\n",l,i,area,parent_level,parent_node,status);
+ }
+ }
+ fprintf(fp,"--- End of Session ---\n");
+ fclose(fp);
+}
+
+int main(int argc, char *argv[])
+{
+ long i, p,plane;
+ long area=0,k=0, maxarea;
+ int peaklevel;
+ long lambda;
+ int hmin;
+ short buffer;
+ struct tms timestruct;
+ clock_t start;
+ long ticksize=sysconf(_SC_CLK_TCK);
+ float museconds;
+
+ if (argc<4)
+ {
+ printf("Usage: %s <original inputimage> <processed input image>
<lambda> [k][maxarea]\n", argv[0]);
+ exit(0);
+ }
+ else lambda = atol(argv[3]);
+ FreeImage_Initialise(0);
+
+ ReadPGM(argv[1],buffer=1); /* ORI image buffer */
+ ReadPGM(argv[2],buffer=2); /* P_ORI image buffer */
+ /*printf("\n Read Buffers Ready\n");*/
+ if (argc>4)
+ k=atoi(argv[4]);
+ if (argc>5)
+ maxarea = atoi(argv[5]);
+ else
+ maxarea = ImageSize;
+ if (maxarea<0)
+ maxarea = -(maxarea*ImageSize)/100;
+ /* STATUS keeps track of each pixel's labelling */
+ /*printf("\n Levels initialised\n"); */
+
+ kbase = k;
+
+ /*printf("%f\n",kbase);*/
+ times(×truct);
+ start=timestruct.tms_utime;
+
+ for (plane=0; plane<NumPlanes; plane++){
+
+ STATUS = calloc((size_t)ImageSize, sizeof(long));
+ assert(STATUS!=NULL);
+ for (i=0; i<ImageSize; i++) STATUS[i] = ST_NotAnalyzed;
+ InitLevels();
+ p = FindHMinPixel(ORI[plane],P_ORI[plane]);
+ hmin = P_ORI[plane][p];
+ peaklevel = hmin;
+ NodeAtLevel[hmin] = true;
+ HQueueCreate();
+ /* printf("\n Hierarchical Queues Ready\n");*/
+
+ HQueueAdd(hmin, p);
+ STATUS[p] = ST_InTheQueue;
+ Tree = MaxTreeCreate(ImageSize);
+ assert(Tree!=NULL);
+ printf("\n Max-Tree structure Ready\n");
+
+ flood(ORI[plane],P_ORI[plane],hmin, &area, &peaklevel);
+ printf("\n MaxTree Structure Completed!\n");
+
+ MaxTreeFilter(ORI[plane],Tree, lambda, kflatConstant,maxarea);
+ printf("\n Area Opening Completed!\n");
+
+ /* Generate a log file */
+ CreateLog(Tree,hmin,argv[1],argv[2]);
+
+ free(Tree);
+ free(HQueue->Pixels);
+ free(STATUS);
+ }
+ times(×truct);
+ museconds=1E6*(timestruct.tms_utime-start)/(float) (ticksize);
+ printf ("%8d %10.4f\n", lambda, museconds/1000000);
+
+ WritePGM("out.tif", ImageWidth, ImageHeight, NumPlanes);
+ for(plane=0; plane<NumPlanes; plane++){
+ free(ORI[plane]);
+ free(P_ORI[plane]);
+ }
+ free(ORI);
+ free(P_ORI);
+ FreeImage_DeInitialise();
+ return(0);
+
+} /* main */
+
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/makefile.rules
b/milena/sandbox/edwin/TreeAlgorithmsComp/makefile.rules
new file mode 100644
index 0000000..9946526
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/makefile.rules
@@ -0,0 +1 @@
+RELEASE=1
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/max_tree.cc
b/milena/sandbox/edwin/TreeAlgorithmsComp/max_tree.cc
new file mode 100644
index 0000000..95d5dc1
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/max_tree.cc
@@ -0,0 +1,232 @@
+#include <mln/core/image/image2d.hh>
+#include <mln/core/alias/neighb2d.hh>
+
+#include <mln/io/pgm/load.hh>
+#include <mln/io/pgm/save.hh>
+
+#include <mln/value/int_u8.hh>
+
+#include <mln/data/sort_offsets.hh>
+#include <mln/extension/adjust.hh>
+#include <mln/extension/fill.hh>
+#include <mln/debug/println.hh>
+#include <mln/util/timer.hh>
+
+static mln::util::timer tm;
+static const int ITERATION = 4;
+
+
+#define START_BENCH() \
+ tm.restart(); \
+ for (int i = 0; i < ITERATION; ++i) {
+
+#define END_BENCH() \
+ } \
+ std::cout << ((float)(tm.stop() * 1000.0) / ITERATION) << std::endl;
+
+
+namespace mln
+{
+
+
+ template <typename Z>
+ inline
+ unsigned zfind_root(Z& zpar, unsigned x)
+ {
+ mlc_equal(mln_value(Z), unsigned)::check();
+ if (zpar.element(x) == x)
+ return x;
+ else
+ return zpar.element(x) = zfind_root(zpar, zpar.element(x));
+ }
+
+
+
+// template <typename I>
+// void
+// radix_decreasing_sort(const I& f, util::array<unsigned>& loc,
util::array<unsigned>& s)
+// {
+// typedef mln_value(I) T;
+// const unsigned n = unsigned(mln_max(T)) + 1;
+
+// // h
+// util::array<unsigned> h(n, 0);
+// mln_fwd_pixter(const I) pxl(f);
+// for_all(pxl)
+// ++h[pxl.val()];
+
+// // preparing output data
+// util::array<unsigned> loc(n);
+// loc[n-1] = 0;
+// for (int i = n - 2; i >= 0; --i)
+// loc[i] = loc[i+1] + h[i+1];
+// // computing output data
+// s.resize(f.domain().nsites());
+// for_all(pxl)
+// s[ loc[pxl.val()]++ ] = pxl.offset();
+// }
+
+
+
+ template <typename I>
+ void
+ radix_decreasing_sort(const I& f, util::array< util::array<unsigned>
>& s)
+ {
+ typedef mln_value(I) T;
+ const unsigned n = unsigned(mln_max(T)) + 1;
+ s.resize(n);
+
+ // h
+ util::array<unsigned> h(n, 0);
+ mln_fwd_pixter(const I) pxl(f);
+ for_all(pxl)
+ ++h[pxl.val()];
+
+ for (unsigned v = 0; v < n; ++v)
+ s[v].reserve(h[v]);
+
+ // computing output data
+ for_all(pxl)
+ s[pxl.val()].append(pxl.offset());
+ }
+
+
+
+ template <typename I, typename N>
+ mln_ch_value(I, unsigned)
+ compute_max_tree(const I& f, const N& nbh,
+ bool run_compression_finalization = true,
+ bool run_tree_canonization = true)
+ {
+ typedef mln_value(I) T;
+ const unsigned n_values = unsigned(mln_max(T)) + 1;
+
+ extension::adjust(f, nbh);
+ extension::fill(f, mln_max(T));
+
+ util::array< util::array<unsigned> > s;
+ radix_decreasing_sort(f, s); // so a max-tree
+
+ util::array<int> dp = offsets_wrt(f, nbh);
+ const unsigned n_nbhs = dp.nelements();
+
+ mln_ch_value(I, unsigned) parent, zpar;
+
+ // initialization.
+ initialize(parent, f);
+ initialize(zpar, f);
+ data::fill(zpar, 0);
+
+ // Tree construction.
+ for (int v = n_values - 1; v >= 0; --v)
+ {
+
+ const util::array<unsigned>& s_v = s[v];
+ unsigned n_p = s_v.nelements();
+ for (unsigned i = 0; i < n_p; ++i)
+ {
+ unsigned p = s_v[i];
+
+ parent.element(p) = p;
+ zpar.element(p) = p;
+
+ for (unsigned j = 0; j < n_nbhs; ++j)
+ {
+ unsigned n = p + dp[j];
+
+ if (zpar.element(n) == 0) // not deja-vu
+ continue;
+
+ unsigned r = zfind_root(zpar, n);
+ if (r != p)
+ {
+ parent.element(r) = p;
+ zpar.element(r) = p;
+ }
+ }
+ }
+
+ if (run_compression_finalization)
+ // Finalizing compression per gray-level.
+ for (int i = n_p - 1; i >= 0; --i)
+ {
+ unsigned p = s_v[i];
+ zpar.element(p) = zpar.element(zpar.element(p));
+ }
+
+ }
+
+
+ if (run_tree_canonization)
+ // Tree canonization.
+ for (int v = 0; v < n_values; ++v)
+ {
+ const util::array<unsigned>& s_v = s[v];
+ unsigned n_p = s_v.nelements();
+ for (int i = n_p - 1; i >= 0; --i)
+ {
+ unsigned
+ p = s_v[i],
+ q = parent.element(p);
+ if (f.element(parent.element(q)) == f.element(q))
+ parent.element(p) = parent.element(q);
+ }
+ }
+
+ return parent;
+ }
+
+
+ template <typename I, typename J>
+ unsigned nnodes(const I& f, const J& parent)
+ {
+ mlc_equal(mln_value(J), unsigned)::check();
+ unsigned n = 0;
+ mln_piter(I) p(parent.domain());
+ for_all(p)
+ {
+ unsigned o = parent.index_of_point(p);
+ if (parent(p) == o || f.element(parent(p)) != f(p))
+ ++n;
+ }
+ return n;
+ }
+
+
+} // mln
+
+
+
+void usage(char* argv[])
+{
+ std::cerr << "usage: " << argv[0] << " input.pgm"
<< std::endl;
+ std::cerr << " max-tree with full optimizations" << std::endl;
+ std::abort();
+}
+
+
+
+int main(int argc, char* argv[])
+{
+ if (argc != 2)
+ usage(argv);
+
+ using namespace mln;
+
+ neighb2d nbh = c4();
+
+ image2d<value::int_u8> f;
+ io::pgm::load(f, argv[1]);
+
+ // go go go
+ image2d<unsigned> parent = compute_max_tree(f, nbh);
+
+ tm.start();
+
+ START_BENCH();
+ compute_max_tree(f, nbh);
+ END_BENCH();
+
+ // debug::println(parent);
+ std::cout << "nnodes = " << nnodes(f, parent) <<
std::endl;
+}
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/max_tree_with_rank.cc
b/milena/sandbox/edwin/TreeAlgorithmsComp/max_tree_with_rank.cc
new file mode 100644
index 0000000..1e80b12
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/max_tree_with_rank.cc
@@ -0,0 +1,201 @@
+#include <mln/core/image/image2d.hh>
+#include <mln/core/alias/neighb2d.hh>
+
+#include <mln/io/pgm/load.hh>
+#include <mln/io/pgm/save.hh>
+#include <mln/io/dump/save.hh>
+
+#include <mln/data/sort_offsets.hh>
+#include <mln/extension/adjust.hh>
+#include <mln/extension/fill.hh>
+
+#include <mln/util/timer.hh>
+#include <mln/debug/println.hh>
+
+
+
+namespace mln
+{
+
+
+ template <typename Z>
+ inline
+ unsigned zfind_root(Z& zpar, unsigned x)
+ {
+ mlc_equal(mln_value(Z), unsigned)::check();
+ if (zpar.element(x) == x)
+ return x;
+ else
+ return zpar.element(x) = zfind_root(zpar, zpar.element(x));
+ }
+
+
+
+ template <typename I>
+ void
+ sort_decreasing(const I& input, std::vector<unsigned>& vec)
+ {
+ const unsigned n = 256;
+
+ // h
+ std::vector<unsigned> h(n, 0);
+ mln_fwd_pixter(const I) pxl(input);
+ for_all(pxl)
+ ++h[pxl.val()];
+
+ // preparing output data
+ std::vector<unsigned> loc(n);
+ loc[n-1] = 0;
+ for (int i = n - 2; i >= 0; --i)
+ loc[i] = loc[i+1] + h[i+1];
+
+ // computing output data
+ for_all(pxl)
+ vec[loc[pxl.val()]++] = pxl.offset();
+ }
+
+
+
+ template <typename I, typename N>
+ mln_ch_value(I, unsigned)
+ compute_max_tree(const I& f, const N& nbh,
+ bool run_tree_canonization = false)
+ {
+ const unsigned npixels = f.domain().nsites();
+
+ extension::adjust(f, nbh);
+ extension::fill(f, 255);
+
+ std::vector<unsigned> s;
+ s.reserve(npixels);
+ sort_decreasing(f, s);
+
+
+ util::array<int> dp = offsets_wrt(f, nbh);
+ const unsigned n_nbhs = dp.nelements();
+
+ mln_ch_value(I, unsigned) parent, zpar, rnk, last;
+
+ // initialization.
+ initialize(parent, f);
+ initialize(rnk, f);
+ data::fill(rnk, 0);
+ initialize(zpar, f);
+ data::fill(zpar, 0);
+ initialize(last, f);
+
+
+ // Tree construction.
+ for (unsigned i = 0; i < npixels; ++i)
+ {
+ unsigned p = s[i];
+
+ parent.element(p) = p;
+ zpar.element(p) = p;
+ last.element(p) = i;
+
+ for (unsigned j = 0; j < n_nbhs; ++j)
+ {
+ unsigned n = p + dp[j];
+
+ if (zpar.element(n) == 0) // not deja-vu
+ continue;
+
+ unsigned r_ = zfind_root(zpar, n);
+ unsigned p_ = zfind_root(zpar, p);
+ if (r_ != p_)
+ {
+ unsigned r = s[last.element(r_)];
+ parent.element(r) = p;
+
+ // Parenthood goes towards root, e.g., to lower levels:
+ mln_invariant(f.element(p) <= f.element(r));
+
+ // Link.
+ if (rnk.element(r_) <= rnk.element(p_))
+ {
+ zpar.element(r_) = p_;
+ ++rnk.element(p_);
+ if (last.element(r_) > last.element(p_))
+ last.element(p_) = last.element(r_);
+ }
+ else
+ {
+ zpar.element(p_) = r_;
+ ++rnk.element(r_);
+ if (last.element(p_) > last.element(r_))
+ last.element(r_) = last.element(p_);
+ }
+ }
+
+ } // j
+
+ } // i
+
+
+// if (run_tree_canonization)
+// // Tree canonization.
+// for (int i = npixels - 1; i >= 0; --i)
+// {
+// unsigned
+// p = s[i],
+// q = parent.element(p);
+// if (f.element(parent.element(q)) == f.element(q))
+// parent.element(p) = parent.element(q);
+// }
+
+ return parent;
+ }
+
+
+ template <typename I, typename J>
+ unsigned nnodes(const I& f, const J& parent)
+ {
+ mlc_equal(mln_value(J), unsigned)::check();
+ unsigned n = 0;
+ mln_piter(I) p(parent.domain());
+ for_all(p)
+ {
+ unsigned o = parent.index_of_point(p);
+ if (parent(p) == o || f.element(parent(p)) != f(p))
+ ++n;
+ }
+ return n;
+ }
+
+} // mln
+
+
+
+void usage(char* argv[])
+{
+ std::cerr << "usage: " << argv[0] << " input.pgm"
<< std::endl;
+ std::cerr << " max-tree with full optimizations" << std::endl;
+ std::abort();
+}
+
+
+
+int main(int argc, char* argv[])
+{
+ if (argc != 2)
+ usage(argv);
+
+ using namespace mln;
+
+ neighb2d nbh = c4();
+
+ image2d<value::int_u8> f;
+ io::pgm::load(f, argv[1]);
+
+ util::timer t;
+ t.start();
+
+ // go go go
+ image2d<unsigned> parent = compute_max_tree(f, nbh);
+
+ float ts = t.stop();
+ std::cout << ts * 1000 << std::endl;
+
+ std::cout << "nnodes = " << nnodes(f, parent) <<
std::endl;
+}
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/parallel_apply.hh
b/milena/sandbox/edwin/TreeAlgorithmsComp/parallel_apply.hh
new file mode 100644
index 0000000..d9a19c1
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/parallel_apply.hh
@@ -0,0 +1,89 @@
+// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE)
+//
+// This file is part of Olena.
+//
+// Olena is free software: you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the Free
+// Software Foundation, version 2 of the License.
+//
+// Olena is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+// General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with Olena. If not, see <http://www.gnu.org/licenses/>.
+//
+// As a special exception, you may use this file as part of a free
+// software project without restriction. Specifically, if other files
+// instantiate templates or use macros or inline functions from this
+// file, or you compile this file and link it with other files to produce
+// an executable, this file does not by itself cause the resulting
+// executable to be covered by the GNU General Public License. This
+// exception does not however invalidate any other reasons why the
+// executable file might be covered by the GNU General Public License.
+
+#ifndef PARALLEL_APPLY_HH
+# define PARALLEL_APPLY_HH
+
+///
+/// Milena concept check for TBB wrapper.
+/// FIXME: it's currently only for 2D images.
+///
+
+
+#include <tbb/blocked_range.h>
+#include <tbb/parallel_reduce.h>
+#include <tbb/partitioner.h>
+
+#include <mln/core/alias/box2d.hh>
+#include <mln/metal/is.hh>
+#include <mln/debug/println.hh>
+
+namespace mln
+{
+
+ template < typename E>
+ struct Parallel_app : Object< E >
+ {
+ Parallel_app();
+ };
+
+# ifndef MLN_INCLUDE_ONLY
+
+ template <typename E>
+ inline
+ Parallel_app<E>::Parallel_app()
+ {
+ typedef typename E::domain_t domain_t;
+ mlc_is(domain_t, box2d)::check();
+
+ // // Constructor check
+ // E c(exact(*this), tbb::split ());
+ // (void) c;
+
+ void (E::*m1)(const tbb::blocked_range<int>&) = &E::operator();
+ m1 = 0;
+
+ void (E::*m2)(E&) = &E::join;
+ m2 = 0;
+ }
+
+ template <typename T, typename F>
+ void parallel_apply(const image2d<T>& ima, Parallel_app<F>& fun_)
+ {
+ point2d pmin = ima.domain().pmin();
+ point2d pmax = ima.domain().pmax();
+ F& fun = exact(fun_);
+ tbb::blocked_range<int> r(pmin[0], pmax[0] + 1, 3);
+ std::cout << "Entree" << std::endl;
+
+ tbb::auto_partitioner partitioner;
+ tbb::parallel_reduce(r, fun, partitioner);
+ std::cout << "Sortie" << std::endl;
+ }
+
+# endif // ! MLN_INCLUDE_ONLY
+}
+
+#endif // !PARALLEL_APPLY_HH
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/parallel_union_find.hh
b/milena/sandbox/edwin/TreeAlgorithmsComp/parallel_union_find.hh
new file mode 100644
index 0000000..a11253b
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/parallel_union_find.hh
@@ -0,0 +1,394 @@
+// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE)
+//
+// This file is part of Olena.
+//
+// Olena is free software: you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the Free
+// Software Foundation, version 2 of the License.
+//
+// Olena is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+// General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with Olena. If not, see <http://www.gnu.org/licenses/>.
+//
+// As a special exception, you may use this file as part of a free
+// software project without restriction. Specifically, if other files
+// instantiate templates or use macros or inline functions from this
+// file, or you compile this file and link it with other files to produce
+// an executable, this file does not by itself cause the resulting
+// executable to be covered by the GNU General Public License. This
+// exception does not however invalidate any other reasons why the
+// executable file might be covered by the GNU General Public License.
+
+#ifndef PARALLEL_UNION_FIND_HH
+# define PARALLEL_UNION_FIND_HH
+
+#include <tbb/tick_count.h>
+
+# include <mln/core/image/image2d.hh>
+# include <mln/data/sort_offsets.hh>
+# include <mln/extension/adjust.hh>
+# include <mln/extension/fill.hh>
+
+# include <sstream>
+# include "parallel_apply.hh"
+
+#define BENCH_START(TASK) \
+ { tbb::tick_count t0 = tbb::tick_count::now(); \
+ std::stringstream task__; \
+ task__ << TASK; \
+ std::cout << "Start task: " << task__.str() << std::endl;
+
+
+#define BENCH_END() \
+ tbb::tick_count t1 = tbb::tick_count::now(); \
+ std::cout << "End task: " << task__.str() << " in
" << (t1-t0).seconds() << std::endl; \
+ }
+
+
+
+
+namespace mln
+{
+
+template <typename I, typename N>
+struct ll_union_find : public Parallel_app< ll_union_find<I, N> >
+{
+ typedef mln_domain(I) domain_t;
+
+ ll_union_find(const Image<I>& f, const Neighborhood<N>& nbh,
+ mln_ch_value(I, unsigned)& parent,
+ mln_ch_value(I, unsigned)& zpar);
+
+ ll_union_find(ll_union_find<I, N>&, tbb::split);
+
+ void operator() (const tbb::blocked_range<int>& subrange);
+ void join(ll_union_find<I, N>& o);
+
+ void build(const box2d& subdomain);
+ void merge(const box2d& domain);
+
+private:
+ typedef mln_value(I) T;
+
+ const I& f;
+ const N& nbh;
+ box2d domain;
+public:
+ mln_ch_value(I, unsigned)& parent;
+ mln_ch_value(I, unsigned)& zpar;
+};
+
+ template <typename I, typename N>
+ mln_ch_value(I, unsigned)
+ compute_max_tree(const Image<I>& f_, const Neighborhood<N>&
nbh_);
+
+# ifndef MLN_INCLUDE_ONLY
+
+template <typename I, typename N>
+inline
+ll_union_find<I, N>::ll_union_find(const Image<I>& f_, const
Neighborhood<N>& nbh_,
+ mln_ch_value(I, unsigned)& parent_,
+ mln_ch_value(I, unsigned)& zpar_)
+ : f (exact(f_)),
+ nbh (exact(nbh_)),
+ parent (parent_),
+ zpar (zpar_)
+{
+ mln_precondition(f.is_valid());
+ mln_precondition(nbh.is_valid());
+ mln_precondition(parent.is_valid());
+ mln_precondition(zpar.is_valid());
+ domain.pmax() = point2d(-1, -1);
+}
+
+template <typename I, typename N>
+inline
+ll_union_find<I, N>::ll_union_find(ll_union_find<I, N>& o, tbb::split) :
+ f (o.f),
+ nbh (o.nbh),
+ parent (o.parent),
+ zpar (o.zpar)
+{
+ mln_precondition(f.is_valid());
+ mln_precondition(nbh.is_valid());
+ mln_precondition(parent.is_valid());
+ mln_precondition(zpar.is_valid());
+}
+
+
+namespace internal
+{
+
+ template <typename Z>
+ inline
+ unsigned zfind_root(Z& zpar, unsigned x)
+ {
+ mlc_equal(mln_value(Z), unsigned)::check();
+ if (zpar.element(x) == x)
+ return x;
+ else
+ return zpar.element(x) = zfind_root(zpar, zpar.element(x));
+ }
+
+ template <typename T>
+ void
+ radix_decreasing_sort(const image2d<T>& f, const box2d& subdomain,
+ util::array< util::array<unsigned> >& s)
+ {
+ const unsigned n = unsigned(mln_max(T)) + 1;
+ s.resize(n);
+
+ // histogram computation
+ util::array<unsigned> h(n, 0);
+
+ // Hack because f | subdomain is not fastest .i.e no pixter
+ const int stride = f.delta_index(dpoint2d(1, 0));
+
+ {
+ const T* offset = &f(subdomain.pmin());
+ for (int y = subdomain.pmin()[0]; y <= subdomain.pmax()[0]; ++y, offset +=
stride)
+ {
+ const T* pxl = offset;
+ for (int x = subdomain.pmin()[1]; x <= subdomain.pmax()[1]; ++x, ++pxl)
+ ++h[*pxl];
+ }
+ }
+
+ for (unsigned v = 0; v < n; ++v)
+ s[v].reserve(h[v]);
+
+ // computing output data
+ {
+ unsigned offset =
+ (f.border() + subdomain.pmin()[0]) * stride +
+ (f.border() + subdomain.pmin()[1]);
+ assert(offset == f.index_of_point(subdomain.pmin()));
+ for (int y = subdomain.pmin()[0]; y <= subdomain.pmax()[0]; ++y, offset +=
stride)
+ for (int x = subdomain.pmin()[1], pxl = offset; x <= subdomain.pmax()[1]; ++x,
++pxl)
+ s[f.element(pxl)].append(pxl);
+ }
+ }
+
+ template <typename T>
+ inline
+ void
+ find_node(const image2d<T>& f, image2d<unsigned>& parent,
unsigned& x)
+ {
+ unsigned& z = parent.element(x);
+ if (f.element(z) == f.element(x) && z != x)
+ {
+ find_node(f, parent, z);
+ x = z;
+ }
+ }
+
+
+ /// Merge two trees.
+ ///
+ ///
+ /// \param f
+ /// \param parent
+ /// \param x
+ /// \param y
+ ///
+ template <typename T>
+ inline
+ void
+ connect(const image2d<T>& f, image2d<unsigned>& parent,
+ unsigned x, unsigned y)
+ {
+ find_node(f, parent, x);
+ find_node(f, parent, y);
+
+ if (f.element(y) > f.element(x)) // fixme: max tree only
+ std::swap(x, y);
+ while (x != y)
+ if (parent.element(x) == x) // root
+ {
+ parent.element(x) = y;
+ return;
+ }
+ else
+ {
+ unsigned z = parent.element(x);
+ find_node(f, parent, z);
+ if (f.element(z) < f.element(y))
+ {
+ parent.element(x) = y;
+ x = y;
+ y = z;
+ }
+ else
+ x = z;
+ }
+ }
+
+
+}
+
+template <typename I, typename N>
+void
+ll_union_find<I, N>::operator() (const tbb::blocked_range<int>& r)
+{
+ if (!this->domain.is_valid())
+ {
+ this->domain = f.domain();
+ this->domain.pmin()[0] = r.begin();
+ this->domain.pmax()[0] = r.end() - 1;
+ this->build(this->domain);
+ }
+ else
+ {
+ box2d subdomain = f.domain();
+ subdomain.pmin()[0] = r.begin();
+ subdomain.pmax()[0] = r.end() - 1;
+
+ this->build(subdomain);
+ std::cout << "Warning: Not parallel merge. " << std::endl;
+ this->merge(subdomain);
+ this->domain.pmax() = subdomain.pmax();
+ }
+}
+
+
+template <typename I, typename N>
+void
+ll_union_find<I, N>::build(const box2d& subdomain)
+{
+ BENCH_START("Build: " << subdomain)
+
+ mln_precondition(subdomain.is_valid());
+ const unsigned n_values = unsigned(mln_max(T)) + 1;
+
+ util::array<int> dp = offsets_wrt(f, nbh);
+ const unsigned n_nbhs = dp.nelements();
+
+ util::array< util::array<unsigned> > s;
+ radix_decreasing_sort(f, subdomain, s); // so a max-tree
+
+ const int stride = f.delta_index(dpoint2d(1, 0));
+
+ // Tree construction.
+ for (int v = n_values - 1; v >= 0; --v)
+ {
+ const util::array<unsigned>& s_v = s[v];
+ unsigned n_p = s_v.nelements();
+ for (unsigned i = 0; i < n_p; ++i)
+ {
+ unsigned p = s_v[i];
+ parent.element(p) = p;
+ zpar.element(p) = p;
+ for (unsigned j = 0; j < n_nbhs; ++j)
+ {
+ unsigned n = p + dp[j];
+ if (zpar.element(n) == 0) // not deja vu || << 3s a l'exec
+ continue;
+ int col = (n / stride - f.border());
+ if (subdomain.pmin()[0] > col || col > subdomain.pmax()[0]) //
!subdomain.has(f.point_at_index(n))
+ continue;
+
+ unsigned r = zfind_root(zpar, n);
+ if (r != p)
+ {
+ parent.element(r) = p;
+ zpar.element(r) = p;
+ }
+ }
+ }
+
+ // Finalizing compression per gray-level.
+ for (int i = n_p - 1; i >= 0; --i)
+ {
+ unsigned p = s_v[i];
+ zpar.element(p) = zpar.element(zpar.element(p));
+ }
+ }
+ BENCH_END()
+}
+
+
+template <typename I, typename N>
+void
+ll_union_find<I, N>::merge(const box2d& d2)
+{
+ const int stride = f.delta_index(dpoint2d(1, 0));
+ box2d& d1 = this->domain;
+
+ BENCH_START("Merge: " << d1 << "&" << d2)
+
+ // Split along x axis
+ assert(d1.pmin()[1] == d2.pmin()[1]);
+ assert(d1.pmax()[1] == d2.pmax()[1]);
+ assert((d1.pmax()[0] + 1) == d2.pmin()[0]);
+
+ int x2 = f.index_of_point(d2.pmin());
+ int x1 = x2;
+ x1 -= stride;
+ for (int x = d1.pmin()[1]; x <= d1.pmax()[1]; ++x)
+ {
+ internal::connect(f, parent, x1, x2);
+ ++x1;
+ ++x2;
+ }
+
+ BENCH_END()
+}
+
+/// Merge two trees.
+///
+///
+template <typename I, typename N>
+void
+ll_union_find<I, N>::join(ll_union_find& o)
+{
+ this->merge(o.domain);
+ this->domain.pmax() = o.domain.pmax();
+}
+
+ template <typename I, typename N>
+ mln_ch_value(I, unsigned)
+ compute_max_tree(const Image<I>& f_, const Neighborhood<N>&
nbh_)
+ {
+ const I& f = exact(f_);
+ const N& nbh = exact(nbh_);
+
+ mln_precondition(f.is_valid());
+ mln_precondition(nbh.is_valid());
+
+ extension::adjust(f, nbh);
+ extension::fill(f, mln_max(mln_value(I)));
+
+ typedef mln_ch_value(I, unsigned) P;
+ P parent, zpar;
+ BENCH_START("Compute Max Tree");
+ initialize(zpar, f);
+ initialize(parent, f);
+ data::fill(zpar, 0);
+ //data::fill(parent, 69);
+
+ ll_union_find<I, N> fun(f, nbh, parent, zpar);
+ parallel_apply(f, fun);
+
+ BENCH_START("Canonisation");
+ mln_pixter(P) px(parent);
+ for_all(px)
+ {
+ unsigned q = parent.element(px.val());
+ if (f.element(q) == f.element(px.val()))
+ px.val() = q;
+ }
+ BENCH_END();
+
+ BENCH_END()
+ return parent;
+ }
+
+# endif // ! MLN_INCLUDE_ONLY
+
+} // end of namespace mln
+
+#endif // !PARALLEL_UNION_FIND_HH
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/tbb_union_find_8.cc
b/milena/sandbox/edwin/TreeAlgorithmsComp/tbb_union_find_8.cc
new file mode 100644
index 0000000..4de9132
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/tbb_union_find_8.cc
@@ -0,0 +1,59 @@
+#include <tbb/task_scheduler_init.h>
+#include "parallel_union_find.hh"
+
+#include <mln/core/image/image2d.hh>
+#include <mln/core/alias/neighb2d.hh>
+#include <mln/value/int_u8.hh>
+
+#include <mln/io/pgm/load.hh>
+#include <mln/debug/println.hh>
+
+ namespace mln
+ {
+
+ template <typename I, typename J>
+ unsigned nnodes(const I& f, const J& parent)
+ {
+ mlc_equal(mln_value(J), unsigned)::check();
+ unsigned n = 0;
+ mln_piter(I) p(parent.domain());
+ for_all(p)
+ {
+ unsigned o = parent.index_of_point(p);
+ if (parent(p) == o || f.element(parent(p)) != f(p))
+ ++n;
+ }
+ return n;
+ }
+
+ }
+
+void usage(char* argv[])
+{
+ std::cerr << "usage: " << argv[0] << " input.pgm"
<< std::endl;
+ std::cerr << " max-tree parallel" << std::endl;
+ std::abort();
+}
+
+int main(int argc, char* argv[])
+{
+ if (argc != 2)
+ usage(argv);
+
+ tbb::task_scheduler_init init;
+ using namespace mln;
+
+ neighb2d nbh = c4();
+ image2d<value::int_u8> f;
+ io::pgm::load(f, argv[1]);
+
+ image2d<unsigned> parent = compute_max_tree(f, nbh);
+ // debug::println(parent);
+
+ // tm.start();
+ // START_BENCH(1);
+ // //compute_max_tree(f, nbh);
+ // END_BENCH();
+ std::cout << "nnodes = " << nnodes(f, parent) <<
std::endl;
+}
+
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/test_salembier_fast_16.cc
b/milena/sandbox/edwin/TreeAlgorithmsComp/test_salembier_fast_16.cc
new file mode 100644
index 0000000..0999f20
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/test_salembier_fast_16.cc
@@ -0,0 +1,62 @@
+#include <mln/core/image/image2d.hh>
+#include <mln/core/alias/neighb2d.hh>
+#include <mln/value/int_u16.hh>
+#include <mln/io/pgm/load.hh>
+#include <mln/util/timer.hh>
+
+#include <mln/morpho/tree/component_tree.hh>
+
+
+static mln::util::timer tm;
+
+#define START_BENCH(N_ITERATION) \
+ { \
+ tm.restart(); \
+ const int n_iteration__ = N_ITERATION; \
+ for (int i__ = 0; i__ < n_iteration__; ++i__) {
+
+
+#define END_BENCH(MSG) \
+ } \
+ std::cout << MSG \
+ << ((float)(tm.stop()) * 1000.0 / n_iteration__) \
+ << " ms." << std::endl; \
+ }
+
+
+void usage(char** argv)
+{
+ std::cout << "Usage: " << argv[0] << " image"
<< std::endl;
+ abort();
+}
+
+int main(int argc, char** argv)
+{
+ using namespace mln;
+ typedef value::int_u16 V;
+ typedef image2d<V> I;
+ typedef util::ctree::ctree<I> tree_t;
+ typedef neighb2d N;
+
+ I input;
+ N nbh = c4();
+
+ if (argc < 2)
+ usage(argv);
+
+ const char* finput = argv[1];
+
+ tm.start();
+ io::pgm::load(input, finput);
+
+ trace::quiet = false;
+ tree_t tree =
+ morpho::tree::impl::hqueue_fast(tag::tree::max, input, nbh);
+ trace::quiet = true;
+
+ std::cout << "Number of nodes: " << tree.n_nodes() <<
std::endl;
+
+ START_BENCH(10);
+ morpho::tree::impl::hqueue_fast(tag::tree::max, input, nbh);
+ END_BENCH("Salembier fast 16 bits: ");
+}
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/test_salembier_fast_8.cc
b/milena/sandbox/edwin/TreeAlgorithmsComp/test_salembier_fast_8.cc
new file mode 100644
index 0000000..4bbcfc5
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/test_salembier_fast_8.cc
@@ -0,0 +1,62 @@
+#include <mln/core/image/image2d.hh>
+#include <mln/core/alias/neighb2d.hh>
+#include <mln/value/int_u8.hh>
+#include <mln/io/pgm/load.hh>
+#include <mln/util/timer.hh>
+
+#include <mln/morpho/tree/component_tree.hh>
+
+
+static mln::util::timer tm;
+
+#define START_BENCH(N_ITERATION) \
+ { \
+ tm.restart(); \
+ const int n_iteration__ = N_ITERATION; \
+ for (int i__ = 0; i__ < n_iteration__; ++i__) {
+
+
+#define END_BENCH(MSG) \
+ } \
+ std::cout << MSG \
+ << ((float)(tm.stop()) * 1000.0 / n_iteration__) \
+ << " ms." << std::endl; \
+ }
+
+
+void usage(char** argv)
+{
+ std::cout << "Usage: " << argv[0] << " image"
<< std::endl;
+ abort();
+}
+
+int main(int argc, char** argv)
+{
+ using namespace mln;
+ typedef value::int_u8 V;
+ typedef image2d<V> I;
+ typedef util::ctree::ctree<I> tree_t;
+ typedef neighb2d N;
+
+ I input;
+ N nbh = c4();
+
+ if (argc < 2)
+ usage(argv);
+
+ const char* finput = argv[1];
+
+ tm.start();
+ io::pgm::load(input, finput);
+
+ trace::quiet = false;
+ tree_t tree =
+ morpho::tree::impl::hqueue_fast(tag::tree::max, input, nbh);
+ trace::quiet = true;
+
+ std::cout << "Number of nodes: " << tree.n_nodes() <<
std::endl;
+
+ START_BENCH(10);
+ morpho::tree::impl::hqueue_fast(tag::tree::max, input, nbh);
+ END_BENCH("Salembier fast 8bits: ");
+}
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/test_union_find_fast_16.cc
b/milena/sandbox/edwin/TreeAlgorithmsComp/test_union_find_fast_16.cc
new file mode 100644
index 0000000..f084650
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/test_union_find_fast_16.cc
@@ -0,0 +1,62 @@
+#include <mln/core/image/image2d.hh>
+#include <mln/core/alias/neighb2d.hh>
+#include <mln/value/int_u16.hh>
+#include <mln/io/pgm/load.hh>
+#include <mln/util/timer.hh>
+
+#include <mln/morpho/tree/component_tree.hh>
+
+
+static mln::util::timer tm;
+
+#define START_BENCH(N_ITERATION) \
+ { \
+ tm.restart(); \
+ const int n_iteration__ = N_ITERATION; \
+ for (int i__ = 0; i__ < n_iteration__; ++i__) {
+
+
+#define END_BENCH(MSG) \
+ } \
+ std::cout << MSG \
+ << ((float)(tm.stop()) * 1000.0 / n_iteration__) \
+ << " ms" << std::endl; \
+ }
+
+
+void usage(char** argv)
+{
+ std::cout << "Usage: " << argv[0] << " image"
<< std::endl;
+ abort();
+}
+
+int main(int argc, char** argv)
+{
+ using namespace mln;
+ typedef value::int_u16 V;
+ typedef image2d<V> I;
+ typedef util::ctree::ctree<I> tree_t;
+ typedef neighb2d N;
+
+ I input;
+ N nbh = c4();
+
+ if (argc < 2)
+ usage(argv);
+
+ const char* finput = argv[1];
+
+ tm.start();
+ io::pgm::load(input, finput);
+
+ trace::quiet = false;
+ tree_t tree =
+ morpho::tree::impl::generic::union_find_fast(tag::tree::max, input, nbh);
+ trace::quiet = true;
+
+ std::cout << "Number of nodes: " << tree.n_nodes() <<
std::endl;
+
+ START_BENCH(10);
+ morpho::tree::impl::generic::union_find_fast(tag::tree::max, input, nbh);
+ END_BENCH("Union find fast 16bits: ");
+}
diff --git a/milena/sandbox/edwin/TreeAlgorithmsComp/test_union_find_fast_8.cc
b/milena/sandbox/edwin/TreeAlgorithmsComp/test_union_find_fast_8.cc
new file mode 100644
index 0000000..150701f
--- /dev/null
+++ b/milena/sandbox/edwin/TreeAlgorithmsComp/test_union_find_fast_8.cc
@@ -0,0 +1,62 @@
+#include <mln/core/image/image2d.hh>
+#include <mln/core/alias/neighb2d.hh>
+#include <mln/value/int_u8.hh>
+#include <mln/io/pgm/load.hh>
+#include <mln/util/timer.hh>
+
+#include <mln/morpho/tree/component_tree.hh>
+
+
+static mln::util::timer tm;
+
+#define START_BENCH(N_ITERATION) \
+ { \
+ tm.restart(); \
+ const int n_iteration__ = N_ITERATION; \
+ for (int i__ = 0; i__ < n_iteration__; ++i__) {
+
+
+#define END_BENCH(MSG) \
+ } \
+ std::cout << MSG \
+ << ((float)(tm.stop()) * 1000.0 / n_iteration__) \
+ << " ms" << std::endl; \
+ }
+
+
+void usage(char** argv)
+{
+ std::cout << "Usage: " << argv[0] << " image"
<< std::endl;
+ abort();
+}
+
+int main(int argc, char** argv)
+{
+ using namespace mln;
+ typedef value::int_u8 V;
+ typedef image2d<V> I;
+ typedef util::ctree::ctree<I> tree_t;
+ typedef neighb2d N;
+
+ I input;
+ N nbh = c4();
+
+ if (argc < 2)
+ usage(argv);
+
+ const char* finput = argv[1];
+
+ tm.start();
+ io::pgm::load(input, finput);
+
+ trace::quiet = false;
+ tree_t tree =
+ morpho::tree::impl::generic::union_find_fast(tag::tree::max, input, nbh);
+ trace::quiet = true;
+
+ std::cout << "Number of nodes: " << tree.n_nodes() <<
std::endl;
+
+ START_BENCH(10);
+ morpho::tree::impl::generic::union_find_fast(tag::tree::max, input, nbh);
+ END_BENCH("Union find fast 8 bits: ");
+}
--
1.5.6.5