J. Serra and P. Salembier, Connected operators and pyramids, Image Algebra and Mathematical Morphology, pp.65-76, 1993.
DOI : 10.1117/12.146672

P. Salembier and J. Serra, Flat zones filtering, connected operators, and filters by reconstruction, IEEE Transactions on Image Processing, vol.4, issue.8, pp.1153-1160, 1995.
DOI : 10.1109/83.403422
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.9460

P. Salembier, A. Oliveras, and L. Garrido, 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

P. Salembier and M. H. Wilkinson, Connected operators, IEEE Signal Processing Magazine, vol.26, issue.6, pp.136-157, 2009.
DOI : 10.1109/MSP.2009.934154

P. Monasse and F. Guichard, 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

P. Salembier and L. Garrido, 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

E. Carlinet and T. Géraud, A Comparison of Many Max-tree Computation Algorithms, International Symposium on Mathematical Morphology. 2013, pp.73-85
DOI : 10.1007/978-3-642-38294-9_7
URL : https://hal.archives-ouvertes.fr/hal-01476238

T. Géraud, E. Carlinet, S. Crozet, and L. Najman, A Quasi-linear Algorithm to Compute the Tree of Shapes of nD Images, International Symposium on Mathematical Morphology. 2013, pp.98-110
DOI : 10.1007/978-3-642-38294-9_9

Y. Xu, Tree-based shape spaces : Definition and applications in image processing and computer vision, 2013.
URL : https://hal.archives-ouvertes.fr/tel-00965890

J. Matas, O. Chum, M. Urban, and T. Pajdla, Robust wide baseline stereo from maximally stable extremal regions, British Machine Vision Conference, pp.384-393, 2002.

K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas et al., A Comparison of Affine Region Detectors, International Journal of Computer Vision, vol.65, issue.1-2, pp.43-72, 2005.
DOI : 10.1007/s11263-005-3848-x
URL : https://hal.archives-ouvertes.fr/inria-00548528

L. Guigues, J. P. Cocquerez, and H. L. Men, Scalesets image analysis, pp.289-317, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00705364

G. Ouzounis and P. Soille, Pattern spectra from partition pyramids and hierarchies Constrained connectivity for hierarchical image partitioning and simplification, International Symposium on Mathematical Morphology, pp.108-119, 2008.

L. Najman and M. Schmitt, 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

L. Najman, 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/s10851-011-0259-1
URL : https://hal.archives-ouvertes.fr/hal-00419373

V. Caselles and P. Monasse, Geometric Description of Images as Topographic Maps, 2009.
DOI : 10.1007/978-3-642-04611-7
URL : https://hal.archives-ouvertes.fr/hal-00654314

K. Mikolajczyk and C. Schmid, Scale & Affine Invariant Interest Point Detectors, International Journal of Computer Vision, vol.60, issue.1, pp.63-86, 2004.
DOI : 10.1023/B:VISI.0000027790.02288.f2
URL : https://hal.archives-ouvertes.fr/inria-00548554

C. Vachier and F. Meyer, Extinction value : a new measurement of persistence, IEEE Workshop on Nonlinear Signal and Image Processing, pp.254-257, 1995.

E. J. Carmona, M. Rincon, J. Garcia-feijoo, and J. M. Martinez-de-la-casa, Identification of the optic nerve head with genetic algorithms, Artificial Intelligence in Medicine, vol.43, issue.3, pp.243-259, 2008.
DOI : 10.1016/j.artmed.2008.04.005

Y. Xu, T. Géraud, and L. Najman, Context-based energy estimator: Application to object segmentation on the tree of shapes, 2012 19th IEEE International Conference on Image Processing, pp.1577-1580, 2012.
DOI : 10.1109/ICIP.2012.6467175
URL : https://hal.archives-ouvertes.fr/hal-00762289

P. Felzenszwalb and D. P. Huttenlocher, 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

S. J. Guimaraes, J. Cousty, Y. Kenmochi, and L. Najman, An efficient hierarchical graph based image segmentation, 14th International Workshop on Structural and Syntactic Pattern Recognition, 2012.

P. Arbeláez, M. Maire, C. Fowlkes, and J. Malik, 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

Y. Xu, T. Géraud, and L. Najman, Salient level lines selection using the Mumford-Shah functional, 2013 IEEE International Conference on Image Processing, pp.1227-1231, 2013.
DOI : 10.1109/ICIP.2013.6738253
URL : https://hal.archives-ouvertes.fr/hal-00831032

R. Levillain, T. Géraud, and L. Najman, Why and how to design a generic and efficient image processing framework : The case of the Milena library, Proc. of International Conference on Image Processing, pp.1941-1944, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00622480