Cell Segmentation Unlimited Algorithm Based on Cytoplasm by Using BM3D Filter and Gradient Vector Flow

Cell dynamic review is a very important issue in life sciences. For reviewing this dynamic, we need a complete and unlimited algorithm based on type and number of the cells. In this paper, we provide a Cell Segmentation Comprehensive Algorithm (CSUA) or a novel method which segment the cell without any limitation and fully automatic. In this method, first the noise of image is omitted by BM3D filter. Then it is calculated the intensity difference of each image. If the intensity difference is less than threshold, the image will become histogram equalization, otherwise we use a new method that the image will be passed through two parallel Gaussian filters (TPGF), and then two filtered images are subtracted to get an image with background trace omission. After some morphological operation, the image is segmented by using a gradient vector flow (GVF), then two new formulas about each structural data of image are provided based on cells area and we remove big and small redundant objects. Finally, we have a segmented and noiseless image of the cells. The results of the trials showed segmentation accuracy rate is 97.28% for all cell types.

Keywords:

BM3D , GVF , Segmentation , CSUA , TPGF