A Novel Overlapping Mice Macrophages Images Segmentation Method
Aiming at the overlapping phenomenon that exists among the cells in the actual mice macrophages image, this paper presents the method of image segmentation based on Otsu threshold and watershed of distance transform. The image is first segmented by Otsu threshold algorithm. Then erosion and dilation morphological operators are used to get rid of noises. Finally, the watershed algorithm based on distance transform is carried out to segment the image. Experimental results show this method works successfully in the segmentation of mice macrophages microscopic images.
image segmentation morphology distance transformation watershed overlapping mice macrophages
Ruihua Xia Ping Wang Wu Zhang Qi Xiong
Information Engineering School, Nanchang University Nanchang 330031, China
国际会议
2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)
浙江台州
英文
40-43
2009-04-11(万方平台首次上网日期,不代表论文的发表时间)