Cell Image Segmentation Based on Color Mutual Information

The selection of the clustering parameter based on k-means plays an important part in the cell image segmentation. By combination different clustered image's color information entropy calculation with original image, it can gain the optimal clustering number for color cell image segmentation. It also introduces a clustering number k-related mutual information and mutual information error calculation to increase algorithm's robustness and can get a better sole clustering result automatically. Experiments show that this method has better segmentation result and calculation efficiency.