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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
1998-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/1998/235029 |
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| _version_ | 1832564423846264832 |
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| author | U. Pal Karsten Rodenacker B. B. Chaudhuri |
| author_facet | U. Pal Karsten Rodenacker B. B. Chaudhuri |
| author_sort | U. Pal |
| collection | DOAJ |
| 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%. |
| format | Article |
| id | doaj-art-b2330e0773d24fa9979660f715ad0238 |
| institution | Kabale University |
| issn | 0921-8912 1878-3651 |
| language | English |
| publishDate | 1998-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-b2330e0773d24fa9979660f715ad02382025-02-03T01:11:04ZengWileyAnalytical 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 |
| spellingShingle | U. Pal Karsten Rodenacker B. B. Chaudhuri Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points Analytical Cellular Pathology |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/1998/235029 |
| work_keys_str_mv | AT upal automaticcellsegmentationincytoandhistometryusingdominantcontourfeaturepoints AT karstenrodenacker automaticcellsegmentationincytoandhistometryusingdominantcontourfeaturepoints AT bbchaudhuri automaticcellsegmentationincytoandhistometryusingdominantcontourfeaturepoints |