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

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...

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Bibliographic Details
Main Authors: U. Pal, Karsten Rodenacker, B. B. Chaudhuri
Format: Article
Language:English
Published: Hindawi Limited 1998-01-01
Series:Analytical Cellular Pathology
Online Access:http://dx.doi.org/10.1155/1998/235029
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spelling doaj-b2330e0773d24fa9979660f715ad02382020-11-24T21:35:51ZengHindawi LimitedAnalytical Cellular Pathology0921-89121878-36511998-01-0117424325010.1155/1998/235029Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature PointsU. Pal0Karsten Rodenacker1B. B. Chaudhuri2GSF National Research Center for Environment and Health, Institute of Biomathematics and Biometry, D-85764 Neuherberg, GermanyGSF National Research Center for Environment and Health, Institute of Biomathematics and Biometry, D-85764 Neuherberg, GermanyComputer Vision and Pattern Recognition Unit, Indian Statistical Institute, Calcutta, IndiaAutomatic 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%.http://dx.doi.org/10.1155/1998/235029
collection DOAJ
language English
format Article
sources DOAJ
author U. Pal
Karsten Rodenacker
B. B. Chaudhuri
spellingShingle U. Pal
Karsten Rodenacker
B. B. Chaudhuri
Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points
Analytical Cellular Pathology
author_facet U. Pal
Karsten Rodenacker
B. B. Chaudhuri
author_sort U. Pal
title Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points
title_short Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points
title_full Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points
title_fullStr Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points
title_full_unstemmed Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points
title_sort automatic cell segmentation in cyto- and histometry using dominant contour feature points
publisher Hindawi Limited
series Analytical Cellular Pathology
issn 0921-8912
1878-3651
publishDate 1998-01-01
description 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%.
url http://dx.doi.org/10.1155/1998/235029
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AT karstenrodenacker automaticcellsegmentationincytoandhistometryusingdominantcontourfeaturepoints
AT bbchaudhuri automaticcellsegmentationincytoandhistometryusingdominantcontourfeaturepoints
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