The Cell Image Segmentation and Classification Based on OTSU Method and Connected Region Labeling
Automatic analysis of medical cell images has been gaining more importance in pharmacology research. Segmentation and classification of cell images are the crucial steps in their analysis since results of segmentation and classification directly affect the following quantitative analysis steps. In this paper, we present a cell image segmentation and classification method based on OTSU method and connected region labeling. By K-L transform we choose one channel and ensure an automatic threshold value by OTSU method to make segmentation, then we adopt the method of connected region labeling designed by ourselves to make classification. The method has been applied to the segmentation and classification of several kinds of cell images. The experimental results show that the method is practical and effective; it has good robustness and ensures the accuracy.
cell image segmentation K-L transform OTSU method connected region labeling
Zhonghua Lin Hongfei Yu
School of Computer science and Technology Henan Polytechnic University Jiaozuo.China School of Resources and Environment Engineering Henan Polytechnic University Jiaozuo.China
国际会议
哈尔滨
英文
1303-1306
2011-12-24（万方平台首次上网日期，不代表论文的发表时间）