* 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 &lt;z(a)lrde.epita.fr&gt; + Cite papers in documentation. + + * mln/linear/log.hh, + * mln/topo/skeleton/crest.hh: Here. + +2013-04-25 Guillaume Lazzara &lt;z(a)lrde.epita.fr&gt; + * doc/doc.bib: Add more references. 2013-04-25 Guillaume Lazzara &lt;z(a)lrde.epita.fr&gt; 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