Cooperation of color pixel classification schemes and color watershed: a study for microscopic images.
In this paper, 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.
Lezoray
Olivier
O
Laboratoire Universitaire des Sciences Appliquées de Cherbourg, 50130 Octeville, France. Olivier.Lezoray@info.unicaen.fr
Cardot
Hubert
H