Method for segmenting white blood cell image
An image segmentation and white blood cell technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of slow algorithm speed, sensitivity to glitches and noise, and inability to fully realize morphological segmentation of cells. Guaranteed accuracy
Inactive Publication Date: 2011-05-04
HUAZHONG UNIV OF SCI & TECH
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The invention provides a method for segmenting a white blood cell image, which is characterized by comprising the following steps: firstly carrying out binaryzation on the green component picture of a color white blood cell image to obtain an initial interested region based on a significance attention mechanism of human vision; carrying out cancellation and mergence on a region by labeling the initial interested region to obtain an adaptive significance window of each cell; and finally realizing segmentation of nucleuses and cytoplasm in each adaptive significance window by a boundary-extending method. The segmentation method is used to realize the fast segmentation of the white blood cells, particularly the accurate segmentation for high-capacity pictures which are the non-standard dyed and contain overlapped cells.
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