Cooperation of color pixel classification schemes and color watershed: a study for microscopic images

Authors:
O. Lezoray;H. Cardot
Affiliations:
Lab. Univ. des Sci. Appliquues de Cherbourg;-
Venue:
IEEE Transactions on Image Processing
Year:
2002

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Abstract

We study the ability of the cooperation of two-color pixel classification schemes (Bayesian and K-means classification) with color watershed. Using color pixel classification alone does not sufficiently accurately extract color regions so we suggest to use a strategy based on three steps: simplification, classification, and color watershed. Color watershed is based on a new aggregation function using local and global criteria. The strategy is performed on microscopic images. Quantitative measures are used to evaluate the resulting segmentations according to a learning set of reference images.