A REGION MERGING ALGORITHM USING MATHEMATICAL MORPHOLOGY: APPLICATION TO MACULA DETECTION
F. ZANA , I. MEUNIER , and J.C. KLEIN


: Centre de Morphologie Mathématique, Ecole des Mines de Paris
35, rue St-Honoré 77305 Fontainebleau, France
zana@cmm.ensmp.fr, klein@cmm.ensmp.fr, fax: (+33) 01.64.69.47.07
and
: Eye University Clinic of Créteil, Paris XII
40 avenue de Verdun 94010 Creteil, France
fax: (+33) 01.45.17.52.27


Abstract.
We present a region merging algorithm based on a watershed cell decomposition and on morphological treatments for macula recognition. After noise removal, a watershed is performed to produce a mosaic image. The resulting decomposition segments the image in cells while maintaining the shape of the Macula. A cell inside the macula is selected as the first step of a merging algorithm. Morphological filters are performed to enhance the capillaries surrounding the macula. A complex criterion based on the gray values and of edges of the filtered image is calculated to merge the cells of the macula while rejecting perifoveal intercapillary zones in order to produce the contour of the macula.


keywords:
Region merging, Mathematical Morphology, Watershed, Image understanding, Ophthalmology.


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