Playing with Kruskal: Algorithms for Morphological Trees in Edge-Weighted Graphs
暂无分享,去创建一个
[1] Gilles Bertrand,et al. Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] J. Kruskal. On the shortest spanning subtree of a graph and the traveling salesman problem , 1956 .
[3] Philippe Salembier,et al. Antiextensive connected operators for image and sequence processing , 1998, IEEE Trans. Image Process..
[4] Petros Maragos,et al. Morphological Scale-Space Representation with Levelings , 1999, Scale-Space.
[5] Pierre Soille,et al. Pattern Spectra from Partition Pyramids and Hierarchies , 2011, ISMM.
[6] Pierre Soille,et al. Constrained connectivity for hierarchical image partitioning and simplification , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Fernand Meyer,et al. Minimum Spanning Forests for Morphological Segmentation , 1994, ISMM.
[8] Laurent Najman,et al. Segmentation, Minimum Spanning Tree and Hierarchies , 2013 .
[9] Makoto Nagao,et al. Region extraction and shape analysis in aerial photographs , 1979 .
[10] Benjamin Perret,et al. Constructive Links between Some Morphological Hierarchies on Edge-Weighted Graphs , 2013, ISMM.
[11] Myungcheol Lee,et al. Graph theory for image analysis: an approach based on the shortest spanning tree , 1986 .
[12] Jean Cousty,et al. Incremental Algorithm for Hierarchical Minimum Spanning Forests and Saliency of Watershed Cuts , 2011, ISMM.
[13] Laurent Najman,et al. On the Equivalence Between Hierarchical Segmentations and Ultrametric Watersheds , 2010, Journal of Mathematical Imaging and Vision.
[14] Philippe Salembier,et al. Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval , 2000, IEEE Trans. Image Process..
[15] Laurent Najman,et al. Geodesic Saliency of Watershed Contours and Hierarchical Segmentation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Joachim Weickert,et al. Scale-Space Theories in Computer Vision , 1999, Lecture Notes in Computer Science.
[17] John I. Goutsias,et al. Mathematical Morphology and its Applications to Image and Signal Processing , 2000, Computational Imaging and Vision.
[18] Robert E. Tarjan,et al. Efficiency of a Good But Not Linear Set Union Algorithm , 1972, JACM.