A. Ahmed, M. Vias, N. Iyer, C. Caldas, and J. Brenton, Microarray segmentation methods significantly influence data precision, Nucleic Acids Research, vol.32, issue.5, p.50, 2004.
DOI : 10.1093/nar/gnh047
URL : http://doi.org/10.1093/nar/gnh047

J. Angulo and J. Serra, Automatic analysis of DNA microarray images using mathematical morphology, Bioinformatics, vol.19, issue.5, pp.553-62, 2003.
DOI : 10.1093/bioinformatics/btg057

J. Angulo, Automated spot classification in cDNA images using mathematical morphology. Internal Note, p.28, 2005.

J. Angulo, Morphological model-based microarray spot classification and segmentation in polar coordinates, Proc Int Conf Stereol 2007(ICS XII), 2007.

B. Appleton and H. Talbot, Globally Optimal Geodesic Active Contours, Journal of Mathematical Imaging and Vision, vol.7, issue.3, pp.67-86, 2005.
DOI : 10.1007/s10851-005-4968-1
URL : https://hal.archives-ouvertes.fr/hal-00621985

Y. Balagurunathan and E. Dougherty, Simulation of cDNA microarrays via a parameterized random signal model, Journal of Biomedical Optics, vol.7, issue.3, pp.507-530, 2002.
DOI : 10.1117/1.1486246

D. Bozinov and J. Rahnenführer, Unsupervised technique for robust target separation and analysis of DNA microarray spots through adaptive pixel clustering, Bioinformatics, vol.18, issue.5, pp.747-56, 2002.
DOI : 10.1093/bioinformatics/18.5.747

P. Brown and D. Botstein, Exploring the new world of the genome with DNA microarrays, Nature Genetics, vol.21, pp.33-40, 1999.
DOI : 10.1038/4462

Y. Chen, E. Dougherty, and M. Bittner, Ratio-based decisions and the quantitative analysis of cDNA microarray images, Journal of Biomedical Optics, vol.2, issue.4, pp.364-74, 1997.
DOI : 10.1117/12.281504

O. Demirkaya, M. Asyali, and M. Shoukri, Segmentation of cDNA Microarray Spots Using Markov Random Field Modeling, Bioinformatics, vol.21, issue.13, pp.2994-3000, 2005.
DOI : 10.1093/bioinformatics/bti455

C. Ekstrom, S. Bak, C. Kristensen, and M. Rudemo, Spot shape modelling and data transformations for microarrays, Bioinformatics, vol.20, issue.14, pp.2270-2278, 2004.
DOI : 10.1093/bioinformatics/bth237

C. Glasbey and M. Khondoker, Correction for pixel censoring in cDNA microarray, Proc 20th Int Worksh Stat Model, pp.17-31, 2005.

A. Lehmussola, P. Ruusuvuori, and O. Yli-harja, Evaluating the performance of microarray segmentation algorithms, Bioinformatics, vol.22, issue.23, pp.2910-2917, 2006.
DOI : 10.1093/bioinformatics/btl502

Q. Li, C. Fraley, R. Bumgarner, K. Yeung, and A. Raftery, Donuts, scratches and blanks: robust model-based segmentation of microarray images, Bioinformatics, vol.21, issue.12, pp.2875-82, 2005.
DOI : 10.1093/bioinformatics/bti447

M. Luengo-oroz, J. Angulo, G. Flandrin, and J. Klossa, Mathematical Morphology in Polar-Logarithmic Coordinates. Application to Erythrocyte Shape Analysis, Proc 2nd Iber Conf Pattern Recogn Images Anal (IbPRIA'05), pp.199-206, 2005.
DOI : 10.1007/11492542_25

A. Rosenfeld and J. Pfaltz, Distance functions on digital pictures, Pattern Recognition, vol.1, issue.1, pp.33-61, 1968.
DOI : 10.1016/0031-3203(68)90013-7

M. Schena, Microarray Analysis, 1968.

M. Steinfath, W. Wruck, H. Seidel, H. Lehrach, U. Radelof et al., Automated image analysis for array hybridization experiments, Bioinformatics, vol.17, issue.7, pp.634-675, 2001.
DOI : 10.1093/bioinformatics/17.7.634
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.211

C. Sun and S. Pallottino, Circular shortest paths by branch and bound, Pattern Recogn, vol.36, pp.2513-2533, 2003.

L. Vincent, Minimal Path Algorithms for the Robust Detection of Linear Features in Gray Images, Proc Int Symp Math Morphol (ISMM'98). Amsterdam: Kluwer, pp.331-339, 1998.

C. Wierling, M. Steinfath, T. Elge, S. Schulze-kremer, P. Aanstad et al., Simulation of DNA array hybridization experiments and evaluation of critical parameters during subsequent image and data analysis, BMC Bioinformatics, vol.3, pp.1-17, 2002.

Y. Yang, M. Buckley, S. Dudoit, and T. Speed, Comparison of Methods for Image Analysis on cDNA Microarray Data, Journal of Computational and Graphical Statistics, vol.11, issue.1, pp.108-144, 2002.
DOI : 10.1198/106186002317375640