Edge Detection of Tumor FISH Cells Based on Automatic Random Walk

To overcome the difficulty caused by the overlapping of cells in the image analysis of tumor FISH cells for cancer diagnosis, a new edge detection of tumor FISH cells is proposed based on automatic random walk algorithm to separate the clustering cells. Firstly, the regions of the cell´s seeds are detected by the ultra-erosion based on priori knowledge. Then, the effective pixel markers are extracted from the detected regions and treated as the object seeds in the random walk algorithm. Finally, the automatic edge detection of the tumor FISH cells is realized by using seeds to segment multiple cells in a random walk way.