Titre : A Vision System for Segmentation and Analysis of Colored Cytological ImagesAuteur(s) : F. HACHOUF, S. OUADFEL ** Laboratoire(s) :
Université de Constantine, Département d'électronique, Résumé :In this paper, we present a vision system to segment and analyze colored cytological images. The adopted approach combines, at a time, the principles of region growing and edge detection guided by a fuzzy classification. So the presented cells are presegmented using the fuzzy C-means algorithm, followed by a hybrid segmentation algorithm. Measures of shapes and colors are taken for every cellular object for analysis and interpretation purposes. Liste de mots-clefs :Segmentation - Analysis- cytological images - region-growing edge detection - fuzzy classification |