SLIC Superpixels Compared to State-of-the-Art Superpixel Methods, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.11, pp.2274-2282, 2012. ,
DOI : 10.1109/TPAMI.2012.120
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.2, pp.315-327, 2012. ,
DOI : 10.1109/TPAMI.2011.130
Contour Detection and Hierarchical Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.5, pp.898-916, 2011. ,
DOI : 10.1109/TPAMI.2010.161
A Metric Approach to Vector-Valued Image Segmentation, International Journal of Computer Vision, vol.133, issue.2, pp.119-126, 2006. ,
DOI : 10.1109/34.44407
The LCA Problem Revisited, pp.88-94, 2000. ,
DOI : 10.1007/10719839_9
On Topological Watersheds, Journal of Mathematical Imaging and Vision, vol.34, issue.6, pp.217-230, 2005. ,
DOI : 10.1109/34.87344
URL : https://hal.archives-ouvertes.fr/hal-00622398
Watershed, Hierarchical Segmentation and Waterfall Algorithm, Mathematical Morphology and its Applications to Image and Signal Processing, pp.69-76, 1994. ,
DOI : 10.1007/978-94-011-1040-2_10
Quasi-Linear Algorithms for the Topological Watershed, Journal of Mathematical Imaging and Vision, vol.13, issue.6, pp.231-249, 2005. ,
DOI : 10.1007/s10851-005-4892-4
URL : https://hal.archives-ouvertes.fr/hal-00622399
Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.8, pp.1362-1374, 2009. ,
DOI : 10.1109/TPAMI.2008.173
URL : https://hal.archives-ouvertes.fr/hal-00622410
Incremental Algorithm for Hierarchical Minimum Spanning Forests and Saliency of Watershed Cuts, Mathematical Morphology and its Applications to Image and Signal Processing, pp.272-283, 2011. ,
DOI : 10.1109/T-C.1971.223083
URL : https://hal.archives-ouvertes.fr/hal-00622505
New Characterizations of Minimum Spanning Trees and of Saliency Maps Based on Quasi-flat Zones, Mathematical Morphology and Its Applications to Signal and Image Processing, pp.205-216, 2015. ,
DOI : 10.1007/978-3-319-18720-4_18
URL : https://hal.archives-ouvertes.fr/hal-01148958
Constructive Links between Some Morphological Hierarchies on Edge-Weighted Graphs, Mathematical Morphology and its Applications to Image and Signal Processing, pp.86-97, 2013. ,
DOI : 10.1007/978-3-642-38294-9_8
URL : https://hal.archives-ouvertes.fr/hal-00798622
Raising in watershed lattices, 2008 15th IEEE International Conference on Image Processing, pp.2196-2199, 2008. ,
DOI : 10.1109/ICIP.2008.4712225
URL : https://hal.archives-ouvertes.fr/hal-00622472
Efficient Graph-Based Image Segmentation, International Journal of Computer Vision, vol.59, issue.2, pp.167-181, 2004. ,
DOI : 10.1023/B:VISI.0000022288.19776.77
A Review of Hierarchical Classification, Journal of the Royal Statistical Society. Series A (General), vol.150, issue.2, pp.119-137, 1987. ,
DOI : 10.2307/2981629
Scale-Sets Image Analysis, International Journal of Computer Vision, vol.20, issue.6, pp.289-317, 2006. ,
DOI : 10.1109/34.56205
URL : https://hal.archives-ouvertes.fr/hal-00705364
A Hierarchical Image Segmentation Algorithm Based on an Observation Scale, pp.116-125, 2012. ,
DOI : 10.1007/978-3-642-34166-3_13
Hierarchizing graph-based image segmentation algorithms relying on region dissimilarity the case of the Felzenszwalb-Huttenlocher method (2016) URL https ,
A Graph-Based Hierarchical Image Segmentation Method Based on a Statistical Merging Predicate, Image Analysis and Processing -ICIAP 2013, pp.11-20, 2013. ,
DOI : 10.1007/978-3-642-41181-6_2
Hierarchical Image Segmentation Relying on a Likelihood Ratio Test, Image Analysis and Processing -ICIAP 2015, pp.25-35, 2015. ,
DOI : 10.1007/978-3-319-23234-8_3
Fusion of ground truths and hierarchies of segmentations, Pattern Recognition Letters, vol.47, pp.63-71, 2014. ,
DOI : 10.1016/j.patrec.2014.04.019
Global???local optimizations by hierarchical cuts and climbing energies, Pattern Recognition, vol.47, issue.1, pp.12-24, 2014. ,
DOI : 10.1016/j.patcog.2013.05.012
URL : https://hal.archives-ouvertes.fr/hal-00802978
Finite topology as applied to image analysis, Computer Vision, Graphics, and Image Processing, vol.46, issue.2, pp.141-161, 1989. ,
DOI : 10.1016/0734-189X(89)90165-5
Description combinatoire des ultramétriques, Mathématiques et Sciences humaines, vol.73, pp.5-37, 1981. ,
An efficient algorithm for exact evaluation of stochastic watersheds, Pattern Recognition Letters, vol.47, pp.80-84, 2014. ,
DOI : 10.1016/j.patrec.2014.03.016
Learning to detect natural image boundaries using local brightness, color, and texture cues, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.5, pp.530-549, 2004. ,
DOI : 10.1109/TPAMI.2004.1273918
The Dynamics of Minima and Contours, Mathematical Morphology and its Applications to Image and Signal Processing, pp.329-336, 1996. ,
DOI : 10.1007/978-1-4613-0469-2_38
Morphological Scale-Space Representation with Levelings, Lecture Notes in Computer Science, vol.1682, pp.187-198, 1999. ,
DOI : 10.1007/3-540-48236-9_17
URL : http://cvsp.cs.ntua.gr/publications/confr/MeyerMaragos_MorphologicalSSLevelings_SS1999.pdf
Segmentation, minimum spanning tree and hierarchies. Mathematical morphology: from theory to applications pp, pp.229-261, 2013. ,
DOI : 10.1002/9781118600788.ch9
URL : https://hal.archives-ouvertes.fr/hal-00622502
Fast computation of a contrast-invariant image representation, IEEE Transactions on Image Processing, vol.9, issue.5, pp.860-872, 2000. ,
DOI : 10.1109/83.841532
Region extraction and shape analysis in aerial photographs, Computer Graphics and Image Processing, vol.10, issue.3, pp.195-223, 1979. ,
DOI : 10.1016/0146-664X(79)90001-7
On the Equivalence Between Hierarchical Segmentations and??Ultrametric Watersheds, Journal of Mathematical Imaging and Vision, vol.113, issue.3, pp.231-247, 2011. ,
DOI : 10.1007/10719839_9
URL : https://hal.archives-ouvertes.fr/hal-00419373
Playing with Kruskal: Algorithms for Morphological Trees in Edge-Weighted Graphs, Mathematical Morphology and its Applications to Image and Signal Processing, pp.135-146, 2013. ,
DOI : 10.1007/978-3-642-38294-9_12
URL : https://hal.archives-ouvertes.fr/hal-00798621
Geodesic saliency of watershed contours and hierarchical segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.12, pp.1163-1173, 1996. ,
DOI : 10.1109/34.546254
URL : https://hal.archives-ouvertes.fr/hal-00622128
Approche pragmatique de la classification: arbres hiérarchiques, partitionnements, Editions Technip, 2004. ,
Statistical region merging, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.11, pp.1452-1458, 2004. ,
DOI : 10.1109/TPAMI.2004.110
URL : http://www.univ-ag.fr/~rnock/Articles/Drafts/tpami04-nn.pdf
Structural pattern recognition, 1977. ,
DOI : 10.1007/978-3-642-88304-0
Automatic Image Segmentation by Dynamic Region Merging, IEEE Transactions on Image Processing, vol.20, issue.12, pp.3592-3605, 2011. ,
DOI : 10.1109/TIP.2011.2157512
Artwork 3D model database indexing and classification, Pattern Recognition, vol.44, issue.3, pp.588-597, 2011. ,
DOI : 10.1016/j.patcog.2010.09.016
URL : https://hal.archives-ouvertes.fr/hal-00538470
Ordering Partial Partitions for Image Segmentation and Filtering: Merging, Creating and Inflating Blocks, Journal of Mathematical Imaging and Vision, vol.30, issue.7, pp.202-233, 2014. ,
DOI : 10.1109/TPAMI.2007.70817
"GrabCut", ACM Transactions on Graphics, vol.23, issue.3, pp.309-314, 2004. ,
DOI : 10.1145/1015706.1015720
Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval, IEEE Transactions on Image Processing, vol.9, issue.4, pp.561-576, 2000. ,
DOI : 10.1109/83.841934
URL : http://gps-tsc.upc.es/imatge/pub/ps/IEEE_IP00_Salembier_Garrido.pdf
Antiextensive connected operators for image and sequence processing, IEEE Transactions on Image Processing, vol.7, issue.4, pp.555-570, 1998. ,
DOI : 10.1109/83.663500
URL : http://gps-tsc.upc.es/imatge/pub/ps/IEEE_IP98_Salembier_Oliveras_Garrido.ps.gz
A survey of hierarchical classification across different application domains, Data Mining and Knowledge Discovery, vol.22, issue.12, pp.31-72, 2011. ,
The world of geography: Visualizing a knowledge domain with cartographic means, Proceedings of the National Academy of Sciences, vol.37, issue.Supplement 1, pp.5274-5278, 2004. ,
DOI : 10.1007/3-540-36222-3_11
Spatialization Methods: A Cartographic Research Agenda for Non-geographic Information Visualization, Cartography and Geographic Information Science, vol.30, issue.2, pp.99-119, 2003. ,
DOI : 10.1559/152304003100011081
URL : http://www.geog.ucsb.edu/~sara/html/research/pubs/skupin_fabrikant_cagis.pdf
Constrained connectivity for hierarchical image partitioning and simplification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.7, pp.1132-1145, 2008. ,
DOI : 10.1109/TPAMI.2007.70817
On Morphological Hierarchical Representations for Image Processing and Spatial Data Clustering, Applications of Discrete Geometry and Mathematical Morphology: First International Workshop, WADGMM 2010, pp.43-67, 2010. ,
DOI : 10.1007/978-3-642-32313-3_4
URL : https://hal.archives-ouvertes.fr/hal-00733251
Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.2, pp.272-285, 2007. ,
DOI : 10.1109/TPAMI.2007.28
Extinction value: a new measurement of persistence, IEEE Workshop on Nonlinear Signal and Image Processing, pp.254-257, 1995. ,