B. Bouraoui, C. Ronse, J. Baruthio, N. Passat, and P. Germain, 3D segmentation of coronary arteries based on advanced Mathematical Morphology techniques. Computerized Medical Imaging and Graphics
URL : https://hal.archives-ouvertes.fr/hal-01694412

E. J. Breen and R. Jones, Attribute Openings, Thinnings, and Granulometries, Computer Vision and Image Understanding, vol.64, issue.3, pp.377-389, 1996.
DOI : 10.1006/cviu.1996.0066

B. Caldairou, B. Naegel, and N. Passat, Segmentation of Complex Images Based on Component-Trees: Methodological Tools, International Symposium on Mathematical Morphology -ISMM'09, 9th International Symposium, Proceedings, pp.171-180, 2009.
DOI : 10.1007/3-540-45468-3_92
URL : https://hal.archives-ouvertes.fr/inria-00412967

L. Chen, M. W. Berry, and W. W. Hargrove, Using dendronal signatures for feature extraction and retrieval, International Journal of Imaging Systems and Technology, vol.28, issue.4, pp.243-253, 2000.
DOI : 10.1007/978-3-642-93208-3
URL : http://www.geobabble.org/~hnw/ijist.pdf

H. E. Cline, D. R. Thedens, C. H. Meyer, D. G. Nishimura, T. K. Foo et al., Combined connectivity and a gray-level morphological filter in magnetic resonance coronary angiography, Magnetic Resonance in Medicine, vol.39, issue.6, pp.43892-895, 2000.
DOI : 10.1002/mrm.1910390621

J. Cousty, L. Najman, M. Couprie, S. Clément-guinaudeau, T. Goissen et al., Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts, Image and Vision Computing, vol.28, issue.8
DOI : 10.1016/j.imavis.2010.01.001
URL : https://hal.archives-ouvertes.fr/hal-00622482

G. Gerig, T. Koller, G. Székely, C. Brechbühler, and O. Kübler, Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiography volume data, Information Processing in Medical Imaging -IPMI'93, Proceedings, pp.94-111, 1993.
DOI : 10.1007/BFb0013783

M. K. Hu, Visual pattern recognition by moment invariants, IRE Transactions on Information Theory, vol.8, issue.2, pp.179-187, 1962.

R. Jones, Connected Filtering and Segmentation Using Component Trees, Computer Vision and Image Understanding, vol.75, issue.3, pp.215-228, 1999.
DOI : 10.1006/cviu.1999.0777

D. Lesage, E. D. Angelini, I. Bloch, and G. Funka-lea, A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes, Medical Image Analysis, vol.13, issue.6, pp.819-845, 2009.
DOI : 10.1016/j.media.2009.07.011

B. Naegel, N. Passat, N. Boch, and M. Kocher, Segmentation using vector-attribute filters: methodology and application to dermatological imaging, International Symposium on Mathematical Morphology -ISMM 2007, Proceedings, pp.239-250, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00187232

B. Naegel, N. Passat, and C. Ronse, Grey-level hit-or-miss transforms???part II: Application to angiographic image processing, Pattern Recognition, vol.40, issue.2, pp.648-658, 2007.
DOI : 10.1016/j.patcog.2006.06.011
URL : https://hal.archives-ouvertes.fr/hal-01694417

L. Najman and M. Couprie, Building the Component Tree in Quasi-Linear Time, IEEE Transactions on Image Processing, vol.15, issue.11, pp.3531-3539, 2006.
DOI : 10.1109/TIP.2006.877518
URL : https://hal.archives-ouvertes.fr/hal-00622110

G. K. Ouzounis and M. H. Wilkinson, Mask-Based Second-Generation Connectivity and Attribute Filters, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.6, pp.990-1004, 2007.
DOI : 10.1109/TPAMI.2007.1045
URL : http://www.cs.rug.nl/~michael/ouzounisPAMI06.pdf

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
URL : http://upcommons.upc.edu/bitstream/2117/90134/1/UPC1.pdf

O. Tankyevych, H. Talbot, P. Dokládal, and N. Passat, Direction-adaptive grey-level morphology. application to 3D vascular brain imaging, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.2261-2264, 2009.
DOI : 10.1109/ICIP.2009.5414356
URL : https://hal.archives-ouvertes.fr/hal-00622439

E. R. Urbach, N. J. Boersma, and M. H. Wilkinson, Vector-Attribute Filters, International Symposium on Mathematical Morphology -ISMM 2005, Proceedings, volume 30 of Computational Imaging and Vision, pp.95-104, 2005.
DOI : 10.1007/1-4020-3443-1_10
URL : https://pure.rug.nl/ws/files/2934905/2005CompImagVisUrbach.pdf

E. R. Urbach, J. B. Roerdink, and M. H. Wilkinson, 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

E. R. Urbach and M. H. Wilkinson, Shape-only granulometries and gray-scale shape filters, International Symposium on Mathematical Morphology -ISMM 2002, Proceedings, pp.305-314, 2002.

V. Vapnik, Statistical Learning Theory, 1998.

M. H. Wilkinson and M. A. Westenberg, Shape Preserving Filament Enhancement Filtering, Medical Image Computing and Computer-Assisted Intervention -MICCAI 2001, Proceedings, pp.770-777, 2001.
DOI : 10.1007/3-540-45468-3_92
URL : http://www.rug.nl/informatica/onderzoek/programmas/hpci/Publications/_files/miccai2001.pdf