It's very difficult segment the medical microscopic image for its features such as multi-objective, complicated background, abundant disturbances and noises, little contrast. After comparing the results of several segmentation arithmetics, this paper puts forward an OTSU-based self-adaptation threshold partition algorithm for effective segmentation of medical microscopic image.
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