Automated detection of microaneurysms in digital red-free photographs: a diabetic retinopathy screening tool, Diabetic Medicine, vol.41, issue.8, pp.588-594, 2000. ,
DOI : 10.1006/cbmr.1996.0021
Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and Non-MA Dictionary Learning, 2010 20th International Conference on Pattern Recognition, pp.277-280, 2010. ,
DOI : 10.1109/ICPR.2010.77
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.304
Geodesic Attributes Thinnings and Thickenings, Mathematical Morphology and Its Applications to Image and Signal Processing, pp.200-211, 2011. ,
DOI : 10.1007/978-3-642-21569-8_18
URL : https://hal.archives-ouvertes.fr/hal-01251388
Automatic detection of microaneurysms in color fundus images, Medical Image Analysis, vol.11, issue.6, pp.555-566, 2007. ,
DOI : 10.1016/j.media.2007.05.001
An Image-Processing Strategy for the Segmentation and Quantification of Microaneurysms in Fluorescein Angiograms of the Ocular Fundus, Computers and Biomedical Research, vol.29, issue.4, pp.284-302, 1996. ,
DOI : 10.1006/cbmr.1996.0021
Numerical residues Mathmatical orphology: 40 years on, pp.23-32, 2005. ,
Scene Text Localization Based on the Ultimate Opening, International Symposium on Mathematical Morphology, vol.1, pp.177-188, 2007. ,
Segmentation of Facade Images Using Ultimate Opening, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00833741
Automatic detection of red lesions in digital color fundus photographs, IEEE Transactions on Medical Imaging, vol.24, issue.5, pp.584-592, 2005. ,
DOI : 10.1109/TMI.2005.843738
Optimal Wavelet Transform for the Detection of Microaneurysms in the Retina Photographs, IEEE Trans, Medical Imaging, vol.27, pp.1230-1241, 2008. ,
Ultimate Opening and Gradual Transitions, Mathematical Morphology and Its Applications to Image and Signal Processing, pp.166-177, 2011. ,
DOI : 10.1007/978-3-642-21569-8_15
URL : https://hal.archives-ouvertes.fr/hal-00658954
Ultimate Attribute Opening Segmentation with Shape Information, Mathematical Morphology and Its Application to Signal and Image Processing, pp.205-214, 2009. ,
DOI : 10.1007/s10208-003-0094-x
URL : https://hal.archives-ouvertes.fr/hal-00833498