J. Angulo and J. Serra, Color segmentation by ordered mergings, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), p.125, 2003.
DOI : 10.1109/ICIP.2003.1246632

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.2974

J. Angulo, S. Velasco-forero, and J. Chanussot, Multiscale stochastic watershed for unsupervised hyperspectral image segmentation, 2009 IEEE International Geoscience and Remote Sensing Symposium, 2009.
DOI : 10.1109/IGARSS.2009.5418095

URL : https://hal.archives-ouvertes.fr/hal-00449454

S. Beucher, Segmentation d'Images et Morphologie Mathématique, 1990.

S. Beucher, Watershed, Hierarchical Segmentation and Waterfall Algorithm, Mathematical morphology and its applications to image processing, p.6976, 1994.
DOI : 10.1007/978-94-011-1040-2_10

B. Marcotegui and S. Beucher, Fast Implementation of Waterfall Based on Graphs, ISMM05 : Mathematical Morphology and its applications to Signal Processing, p.177186, 2005.
DOI : 10.1007/1-4020-3443-1_16

S. Beucher, GEODESIC RECONSTRUCTION, SADDLE ZONES & HIERARCHICAL SEGMENTATION, Image Analysis & Stereology, vol.20, issue.3, p.137141, 2001.
DOI : 10.5566/ias.v20.p137-141

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.8306

S. Beucher and B. Marcotegui, P algorithm, a dramatic enhancement of the waterfall transformation, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00835019

J. Cousty, G. Bertrand, L. Najman, and M. Couprie, Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.8, p.13621374, 2009.
DOI : 10.1109/TPAMI.2008.173

URL : https://hal.archives-ouvertes.fr/hal-00622410

S. Delest, R. Bone, and H. Cardot, Fast segmentation of triangular meshes using waterfall, VIIP, p.308312, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01026311

S. Golodetz, C. Nicholls, I. Voiculescu, and S. Cameron, Two tree-based methods for the waterfall, Pattern Recognition, vol.47, issue.10, 2014.
DOI : 10.1016/j.patcog.2014.04.017

A. Hanbury and B. Marcotegui, Waterfall Segmentation of Complex Scenes, 2006.
DOI : 10.1007/11612032_89

F. Meyer, Un algorithme optimal de ligne de partage des eaux, Actes, p.847859, 1991.

F. Meyer, Minimum spanning forests for morphological segmentation. Procs, of the second international conference on Mathematical Morphology and its Applications to Image Processing, p.7784, 1994.
DOI : 10.1007/978-94-011-1040-2_11

F. Meyer and J. Stawiaski, Morphology on Graphs and Minimum Spanning Trees, Mathematical Morphology and Its Application to Signal and Image Processing, p.161170, 2009.
DOI : 10.1109/TPAMI.2004.1261076

URL : https://hal.archives-ouvertes.fr/hal-00834386

F. Meyer, The steepest watershed: from graphs to images. arXiv preprint, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00686759

F. Meyer, Watersheds, waterfalls, on edge or node weighted graphs. arXiv preprint, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00834522

F. Meyer, Watersheds on weighted graphs, Pattern Recognition Letters, vol.47, 2014.
DOI : 10.1016/j.patrec.2014.02.018

URL : https://hal.archives-ouvertes.fr/hal-01111752

B. Ogor, V. Haese-coat, and J. Ronsin, Sar image segmentation by mathematical morphology and texture analysis IGARSS '96. 'Remote Sensing for a Sustainable Future, Geoscience and Remote Sensing Symposium, p.717719, 1996.

L. Shafarenko, M. Petrou, and J. Kittler, Automatic watershed segmentation of randomly textured color images, IEEE Transactions on Image Processing, vol.6, issue.11, p.15301544, 1997.
DOI : 10.1109/83.641413

J. Stottinger, J. Banova, T. Ponitz, N. Sebe, and A. Hanbury, Translating Journalists' Requirements into Features for Image Search, 2009 15th International Conference on Virtual Systems and Multimedia, p.149153, 2009.
DOI : 10.1109/VSMM.2009.28