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

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%.

• Publication year

  1998

• Venue

  Analytical Cellular Pathology

• Publication date

  1998-01-01

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1155/1998/235029PMID 10391376PMCID 4612250
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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