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Analytical Cellular Pathology
Volume 17, Issue 4, Pages 243-250

Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points

U. Pal,1 Karsten Rodenacker,1 and B. B. Chaudhuri2

1GSF National Research Center for Environment and Health, Institute of Biomathematics and Biometry, D-85764 Neuherberg, Germany
2Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Calcutta, India

Copyright © 1998 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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%.