An efficient method based on watershed and rule-based merging for segmentation of 3-D histo-pathological images
Identifieur interne : 001A49 ( Main/Exploration ); précédent : 001A48; suivant : 001A50An efficient method based on watershed and rule-based merging for segmentation of 3-D histo-pathological images
Auteurs : P. S. Umesh Adiga [Inde, Royaume-Uni] ; Bidyut Baran Chaudhuri [Inde, Royaume-Uni]Source :
- Pattern Recognition [ 0031-3203 ] ; 2000.
Abstract
This paper deals with the segmentation of 3-D histo-pathological images. Here we have presented a region-based segmentation method involving watershed algorithm and the rule-based merging technique. We have implemented a new method similar to flooding process for circumventing the inability to automatically mark the regional minima in small isolated objects. The 3-D histo-pathological images for testing the algorithm are obtained using confocal microscope in the form of a stack of optical sections. Normally, result of a classical watershed algorithm on grey-scale textured images such as tissue images is over-segmentation. We have proposed a rule-based heuristic merging technique to reduce the over-segmentation of cells. The tiny fragments of the cells and their parents are identified based on some heuristic rules and are merged together. Rule-based merging gives more than 90% accurate segmentation when compared to simple classical watershed extended to 3-D. Results are shown on 3-D images of prostate cancer tissue specimen.
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DOI: 10.1016/S0031-3203(00)00076-5
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B." last="Chaudhuri">Bidyut Baran Chaudhuri</name><affiliation><country>Inde</country><placeName><settlement type="city">Calcutta</settlement><region type="province">Bengale-Occidental</region></placeName><orgName type="lab" n="5">Institut indien de statistiques</orgName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:A4D953E197A5129F5971544D7765AA96CE920C0C</idno><date when="2001" year="2001">2001</date><idno type="doi">10.1016/S0031-3203(00)00076-5</idno><idno type="url">https://api.istex.fr/document/A4D953E197A5129F5971544D7765AA96CE920C0C/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000907</idno><idno type="wicri:Area/Istex/Curation">000897</idno><idno type="wicri:Area/Istex/Checkpoint">001103</idno><idno type="wicri:doubleKey">0031-3203:2001:Umesh Adiga P:an:efficient:method</idno><idno type="wicri:Area/Main/Merge">001B42</idno><idno type="wicri:Area/Main/Curation">001A49</idno><idno type="wicri:Area/Main/Exploration">001A49</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">An efficient method based on watershed and rule-based merging for segmentation of 3-D histo-pathological images</title><author><name sortKey="Umesh Adiga, P S" sort="Umesh Adiga, P S" uniqKey="Umesh Adiga P" first="P. 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Here we have presented a region-based segmentation method involving watershed algorithm and the rule-based merging technique. We have implemented a new method similar to flooding process for circumventing the inability to automatically mark the regional minima in small isolated objects. The 3-D histo-pathological images for testing the algorithm are obtained using confocal microscope in the form of a stack of optical sections. Normally, result of a classical watershed algorithm on grey-scale textured images such as tissue images is over-segmentation. We have proposed a rule-based heuristic merging technique to reduce the over-segmentation of cells. The tiny fragments of the cells and their parents are identified based on some heuristic rules and are merged together. Rule-based merging gives more than 90% accurate segmentation when compared to simple classical watershed extended to 3-D. Results are shown on 3-D images of prostate cancer tissue specimen.</div></front></TEI><affiliations><list><country><li>Inde</li><li>Royaume-Uni</li></country><region><li>Bengale-Occidental</li></region><settlement><li>Calcutta</li></settlement><orgName><li>Institut indien de statistiques</li></orgName></list><tree><country name="Inde"><noRegion><name sortKey="Umesh Adiga, P S" sort="Umesh Adiga, P S" uniqKey="Umesh Adiga P" first="P. S." last="Umesh Adiga">P. S. Umesh Adiga</name></noRegion><name sortKey="Chaudhuri, B B" sort="Chaudhuri, B B" uniqKey="Chaudhuri B" first="B. B." last="Chaudhuri">Bidyut Baran Chaudhuri</name></country><country name="Royaume-Uni"><noRegion><name sortKey="Umesh Adiga, P S" sort="Umesh Adiga, P S" uniqKey="Umesh Adiga P" first="P. S." last="Umesh Adiga">P. S. Umesh Adiga</name></noRegion><name sortKey="Chaudhuri, B B" sort="Chaudhuri, B B" uniqKey="Chaudhuri B" first="B. B." last="Chaudhuri">Bidyut Baran Chaudhuri</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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