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• W2129650255 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." @default.
• W2129650255 created "2016-06-24" @default.
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• W2129650255 date "2002-07-01" @default.
• W2129650255 modified "2023-09-30" @default.
• W2129650255 title "Cooperation of color pixel classification schemes and color watershed: a study for microscopic images" @default.
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• W2129650255 doi "https://doi.org/10.1109/tip.2002.800889" @default.
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