P. Salembier and J. Serra, Flat zones filtering, connected operators, and filters by reconstruction, IEEE T Image Process, vol.4, pp.1153-1160, 1995.

P. Salembier and M. H. Wilkinson, Connected operators: A review of region-based morphological image processing techniques, IEEE Signal Proc Mag, vol.26, pp.136-157, 2009.

, Mathematical Morphology: From Theory to Applications, 2010.

P. Salembier, A. Oliveras, and L. Garrido, Anti-extensive connected operators for image and sequence processing, IEEE T Image Process, vol.7, pp.555-570, 1998.

M. A. Westenberg, J. B. Roerdink, and M. H. Wilkinson, Volumetric attribute filtering and interactive visualization using the max-tree representation, IEEE T Image Process, vol.16, pp.2943-2952, 2007.

N. Passat, B. Naegel, F. Rousseau, M. Koob, and J. Dietemann, Interactive segmentation based on component-trees, Pattern Recogn, vol.44, pp.2539-2554, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01694403

E. J. Breen and R. Jones, Attribute openings, thinnings, and granulometries, Comput Vis Image Und, vol.64, pp.377-389, 1996.

R. Jones, Connected filtering and segmentation using component trees, Comput Vis Image Und, vol.75, pp.215-228, 1999.

L. Guigues, J. Cocquerez, and H. Le-men, Scale-sets image analysis, Int J Comput Vision, vol.68, pp.289-317, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00705364

E. Aptoula and S. Lefèvre, A comparative study on multivariate mathematical morphology, Pattern Recogn, vol.40, pp.2914-2929, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00512660

B. Naegel and N. Passat, Component-trees and multivalued images: A comparative study, ISMM, vol.5720, pp.261-171, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00412965

N. Passat and B. Naegel, An extension of component-trees to partial orders, ICIP, pp.3981-3984, 2009.
URL : https://hal.archives-ouvertes.fr/hal-01695031

N. Passat and B. Naegel, Component-trees and multivalued images: Structural properties, J Math Imaging Vis, vol.49, pp.37-50, 2014.
URL : https://hal.archives-ouvertes.fr/inria-00611714

U. Braga-neto and J. K. Goutsias, A theoretical tour of connectivity in image processing and analysis, J Math Imaging Vis, vol.19, pp.5-31, 2003.

J. Mattes and J. Demongeot, Efficient algorithms to implement the confinement tree, DGCI, vol.1953, pp.392-405, 2000.

L. Najman and M. Couprie, Building the component tree in quasilinear time, IEEE T Image Process, vol.15, pp.3531-3539, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00622110

C. Berger, T. Géraud, R. Levillain, N. Widynski, A. Baillard et al., Effective component tree computation with application to pattern recognition in astronomical imaging, ICIP, pp.41-44, 2007.

M. H. Wilkinson, H. Gao, W. H. Hesselink, J. Jonker, and A. Meijster, Concurrent computation of attribute filters on shared memory parallel machines, IEEE T Pattern Anal, vol.30, pp.1800-1813, 2008.

E. Carlinet and T. Géraud, A comparison of many max-tree computation algorithms, ISMM, vol.7883, pp.73-84, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01476238

A. D. Gordon, A review of hierarchical classification, J Roy Stat Soc A Sta, vol.150, pp.119-137, 1987.

C. Kurtz, N. Passat, P. Gançarski, and A. Puissant, Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology, Pattern Recogn, vol.45, pp.685-706, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01694409

F. Petitjean, C. Kurtz, N. Passat, and P. Gançarski, Spatio-temporal reasoning for the classification of satellite image time series, Pattern Recogn Lett, vol.33, pp.1805-1815, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00636814