Affiliations: GSF National Research Center for Environment and Health, Institute of Biomathematics and Biometry, D‐85764 Neuherberg, Germany | Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Calcutta, India
Note: [] Guest Scientist from CVPR Unit, Indian Statistical Institute, Calcutta, India.
Abstract: Automatic cell segmentation has various application potentials in cytometry and histometry. In this paper, an automatic cluster (touching) cell segmentation approach using the dominant contour feature points has been presented. Dominant feature points are the locations of indentation on the contour of the cluster. First, dominant feature points on the contour of the cluster are detected by distance profile. Next, using shape features of the cells, these feature points are selected for segmentation. We compared the results of the proposed method with manual segmentation and observed that the method has an overall accuracy about to 82%.
