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b60f594 mln/convert/impl/from_value_to_value.hh: Improve from_value_to_value dispatch for types with identical equiv type.
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Summary of changes:
milena/ChangeLog | 5 ++
milena/mln/convert/impl/from_value_to_value.hh | 62 ++++++++++++++----------
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237e7b8 doc/Doxyfile.in: Disable QHP generation.
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5cb37e9 doc/mln/topo/topo.dox: New. Introduce mathematical topology module.
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Olena, a generic and efficient image processing platform
* mln/linear/log.hh,
* mln/topo/skeleton/crest.hh: Here.
---
ChangeLog | 7 +++
milena/mln/linear/log.hh | 4 +-
milena/mln/topo/skeleton/crest.hh | 91 +++++++++++++++++++------------------
3 files changed, 56 insertions(+), 46 deletions(-)
diff --git a/ChangeLog b/ChangeLog
index 5d8e4c0..15e019f 100644
--- a/ChangeLog
+++ b/ChangeLog
@@ -1,5 +1,12 @@
2013-04-25 Guillaume Lazzara <z(a)lrde.epita.fr>
+ Cite papers in documentation.
+
+ * mln/linear/log.hh,
+ * mln/topo/skeleton/crest.hh: Here.
+
+2013-04-25 Guillaume Lazzara <z(a)lrde.epita.fr>
+
* doc/doc.bib: Add more references.
2013-04-25 Guillaume Lazzara <z(a)lrde.epita.fr>
diff --git a/milena/mln/linear/log.hh b/milena/mln/linear/log.hh
index 865f571..824cf94 100644
--- a/milena/mln/linear/log.hh
+++ b/milena/mln/linear/log.hh
@@ -46,7 +46,7 @@ namespace mln
/*! \brief Laplacian of Gaussian.
- LoG_5x5 (Cf. Sonka et al., pages 85-86).
+ LoG_5x5 (Cf. Sonka et al., pages 85-86, \cite sonka1999image).
This is also a "mexican hat".
\ingroup mlnlinear
@@ -77,7 +77,7 @@ namespace mln
/*! \brief Laplacian of Gaussian.
- LoG 17x17 (Cf. Sonka et al., pages 85-86).
+ LoG 17x17 (Cf. Sonka et al., pages 85-86, \cite sonka1999image).
\ingroup mlnlinear
*/
diff --git a/milena/mln/topo/skeleton/crest.hh b/milena/mln/topo/skeleton/crest.hh
index 351ec66..863bc77 100644
--- a/milena/mln/topo/skeleton/crest.hh
+++ b/milena/mln/topo/skeleton/crest.hh
@@ -1,4 +1,4 @@
-// Copyright (C) 2009, 2010, 2011 EPITA Research and Development
+// Copyright (C) 2009, 2010, 2011, 2013 EPITA Research and Development
// Laboratory (LRDE)
//
// This file is part of Olena.
@@ -48,54 +48,57 @@ namespace mln
{
- /// Compute skeletization constraints.
- ///
- /// \param[in] input A binary image.
- /// \param[in] dist_map A distance map of \p input. Contains the
- /// inner object distance map.
- /// \param[in] nbh A neighborhood.
- /// \param[in] psi_threshold Keep sites having a Point
- /// Superiority Index greated or equal
- /// to \p psi_threshold.
- ///
- /// \result A binary image.
- //
- /*!
- *
- * This implementation is based on the following article:
- * K. W. Kang, J. W. Suh, and J. H. Kim. Skeletonization of grayscale
- * character images using pixel superiority index. In Proc. 3rd IAPR
- * Workshop on Document Analysis Systems, pages 326-335, Nagano,
- * Japan, 1998.
- *
- * Abstract:
- * "In this paper, we present pixel superiority index as a tool for
- * designing a skeletonization algorithm which utilizes topographic
- * features efficiently. We clarify a relationship between pixel
- * superiority index and topographic features. Then, using the
- * relationship, we transform a problem of skeletonization into a
- * problem of skeleton growing. [...]"
- *
- *
- * In Milena, the Pixel Superiority index is defined as follow:
- * Let v = p.val(), the Pixel superiority index of p is the number of
- * neighbor pixels having their value/level inferior or equal to
- * p.val().
- *
- * This algorithm keeps sites having their pixel superiority index
- * greater than \p psi_threshold (6 by default).
- *
- * For good results with 2D images, we advice you to use c8() as
- * neighborhood.
- *
- */
+ /*! \brief Compute skeletization constraints.
+
+ \param[in] input A binary image.
+ \param[in] dist_map A distance map of \p input. Contains the
+ inner object distance map.
+ \param[in] nbh A neighborhood.
+ \param[in] psi_threshold Keep sites having a Point
+ Superiority Index greated or equal
+ to \p psi_threshold.
+
+ \result A binary image.
+
+
+ This implementation is based on the following paper:
+ K. W. Kang, J. W. Suh, and J. H. Kim. Skeletonization of grayscale
+ character images using pixel superiority index. In Proc. 3rd IAPR
+ Workshop on Document Analysis Systems, pages 326-335, Nagano,
+ Japan, 1998. (\cite kang1998iapr)
+
+ Abstract:
+ "In this paper, we present pixel superiority index as a tool for
+ designing a skeletonization algorithm which utilizes topographic
+ features efficiently. We clarify a relationship between pixel
+ superiority index and topographic features. Then, using the
+ relationship, we transform a problem of skeletonization into a
+ problem of skeleton growing. [...]"
+
+
+ In Milena, the Pixel Superiority index is defined as follow:
+ Let v = p.val(), the Pixel superiority index of p is the number of
+ neighbor pixels having their value/level inferior or equal to
+ p.val().
+
+ This algorithm keeps sites having their pixel superiority index
+ greater than \p psi_threshold (6 by default).
+
+ For good results with 2D images, we advice you to use c8() as
+ neighborhood.
+
+ \ingroup modtopo
+ */
template <typename I, typename D, typename N>
mln_concrete(I)
crest(const Image<I>& input, const Image<D>& dist_map,
const Neighborhood<N>& nbh, unsigned psi_threshold);
- /// \overload
- /// psi_threshold is set to 6.
+ /*! \overload
+ psi_threshold is set to 6.
+
+ \ingroup modtopo
+ */
template <typename I, typename D, typename N>
mln_concrete(I)
crest(const Image<I>& input, const Image<D>& dist_map,
--
1.7.2.5