A. Rosenfeld and J. L. Pfaltz, Sequential operations in digital picture processing, Journal of The Association of Computing Machinery, vol.13, issue.4, pp.471-494, 1966.

T. Y. Kong and A. Rosenfeld, Digital topology: Introduction and survey, Computer Vision, Graphics, and Image Processing, vol.48, issue.3, pp.357-393, 1989.
DOI : 10.1016/0734-189X(89)90147-3

L. J. Latecki, U. Eckhardt, and A. Rosenfeld, Well-Composed Sets, Computer Vision and Image Understanding, vol.61, issue.1, pp.70-83, 1995.
DOI : 10.1006/cviu.1995.1006

A. Rosenfeld, Connectivity in Digital Pictures, Journal of the ACM, vol.17, issue.1, pp.146-160, 1970.
DOI : 10.1145/321556.321570

N. J. Tustison, B. B. Avants, M. Siqueira, and J. C. Gee, Topological Well-Composedness and Glamorous Glue: A Digital Gluing Algorithm for Topologically Constrained Front Propagation, IEEE Transactions on Image Processing, vol.20, issue.6, pp.1756-1761, 2011.
DOI : 10.1109/TIP.2010.2095021

J. Marchadier, D. Arqù, and S. Michelin, Thinning grayscale well-composed images, Pattern Recognition Letters, vol.25, issue.5, pp.581-590, 2004.
DOI : 10.1016/j.patrec.2003.12.005

L. J. Latecki, 3D Well-Composed Pictures, Graphical Models and Image Processing, vol.59, issue.3, pp.164-172, 1997.
DOI : 10.1006/gmip.1997.0422
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.9284

T. Etiene, L. G. Nonato, C. Scheidegger, J. Tierny, T. J. Peters et al., Topology Verification for Isosurface Extraction, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.6, pp.952-965, 2012.
DOI : 10.1109/TVCG.2011.109
URL : https://hal.archives-ouvertes.fr/hal-01211133

M. Siqueira, L. J. Latecki, N. Tustison, J. Gallier, and J. Gee, Topological Repairing of 3D Digital Images, Journal of Mathematical Imaging and Vision, vol.17, issue.3, pp.249-274, 2008.
DOI : 10.1007/s10851-007-0054-1

L. J. Latecki, Well-composed sets, Advances in Imaging and Electron Physics, pp.95-163, 2000.
DOI : 10.1016/s1076-5670(00)80028-2

P. Stelldinger and L. J. Latecki, 3D object digitization: Majority interpolation and marching cubes, Proc. of the 18th International Conference on Pattern Recognition, pp.1173-1176, 2006.

N. Boutry, T. Géraud, and L. Najman, How to make well-composed images in nD in a self-dual way with a front propagation algorithm (submitted) On making nD images well-composed by a self-dual local interpolation, Mathematical Morphology and Its Applications to Signal and Image Processing?Proceedings of the International Symposium on Mathematical Morphology (ISMM), 2015. [13] N. Boutry, T. Géraud, and L. Najman Discrete Geometry for Computer Imagery. 2014 of Lecture Notes in Computer Science Series, pp.320-331

R. Gonzalez-diaz, M. Jimenez, and B. Medrano, Well-Composed Cell Complexes, Proceedings of Discrete Geometry for Computer Imagery. 2011, pp.153-162
DOI : 10.1007/978-3-642-19867-0_13
URL : http://hdl.handle.net/11441/30764

D. Martin, C. Fowlkes, D. Tal, and J. Malik, A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.416-423, 2001.
DOI : 10.1109/ICCV.2001.937655

L. Najman and J. Cousty, A graph-based mathematical morphology reader, Pattern Recognition Letters, vol.47, pp.3-17, 2014.
DOI : 10.1016/j.patrec.2014.05.007
URL : https://hal.archives-ouvertes.fr/hal-00986191

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, Proceedings of the IEEE International Conference on Image Processing (ICIP), pp.1941-1944, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00622480

R. Levillain, T. Géraud, and L. Najman, Writing Reusable Digital Topology Algorithms in a Generic Image Processing Framework, Lecture Notes in Computer Science, vol.7346, pp.140-153, 2010.
DOI : 10.1007/978-3-642-32313-3_10