Stomach Epidermis Tumor Cell Segmentation Based on the Maximization of Mutual Information in Effective Information
Nan Gan, Zheng Fei-hu · 2009
In the complex stomach epidermis tumor cells, the traditional segmentation algorithms such as the K-means clustering algorithm and the simple threshold segmentation algorithm are unable to get satisfactory results. The relaxation iterative segmentation algorithm can segment the cell clearly, but it wastes a lot of time and the execution efficiency is very low. In this paper the authors propose a new segmentation algorithm based on the maximization of Mutual information in effective information, in which to find the optimal threshold values to segment the stomach epidermis tumor cells.