Cell Detection and Counting Method Based on Connected Domain of Binary Image

Cell counting plays an important role in biomedical research. There are always some phenomena such as indistinct intervals and target adhesion in cell images, which leads to poor segmentation effect and therefore inaccurate counting. In view of this situation, based on image binarization technology, this paper proposed a rapid cell count method combining mathematical morphology and connected domain labeling in which the cell images can be grayed, USM sharpened, binarized, morphologically processed, and connected domain labeled, and ultimately the number of cells could be calculated. The experimental results show that this method can effectively complete the segmentation of sparse cell images and intensive cell images, and the counting error is less than 5%.