Abstract:The ratio of positive cells in histopathology image affects definitively diagnosis and classification of cancer. In allusion to complex color and texture

fuzzy boundary in histopathology image

this paper proposed a new algorithm of positive cells contour detection for cells counting

which combined RGB channel extracting and image binaryzation to separate positive cells

and have high efficiency in contour detection of these cells base on CV model. Experiment demonstrates that

the algorithm solves the problem of weak boundaries that can`t achieve in traditional way

and on the premise of maintaining the efficiency of algorithm

this method can separate the positive cells and detect its contour automatically.