关键词: 免疫组化图像, 局部颜色熵, 边缘检测, 类间最大方差法, 目标探测率

Abstract:

The immunohistochemical (IHC) image segmentation often appears some problems caused by uneven or overlapping stain, resulting in bad edge detection. This paper proposed a local color entropy method based on the properties of R，G，B color channels in IHC images. For IHC images, the better result of entropy for edge detection in this paper can be obtained by adding color information for image entropy in order to target areas which have a different color but approximate grey scale, and a good edge detection can be got by OTSU. By comparing the result of Matlab simulation experiment and that of traditional image entropy for edge detection, this method can be proved that it efficiently extract the contours with a high ratio for detection of targets.

Key words: IHC image;local color entropy;edge detection;OTSU;ratio for detection of targets