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Please use this identifier to cite or link to this item: http://gukir.inflibnet.ac.in:8080/jspui/handle/123456789/3719
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dc.contributor.authorDhandra B.V
dc.contributor.authorHegadi R
dc.contributor.authorHangarge M
dc.contributor.authorMalemath V.S.
dc.date.accessioned2020-06-12T15:01:09Z-
dc.date.available2020-06-12T15:01:09Z-
dc.date.issued2006
dc.identifier.citation2006 1st International Conference on Digital Information Management, ICDIM , Vol. , , p. 167 - 172en_US
dc.identifier.uri10.1109/ICDIM.2007.369348
dc.identifier.urihttp://gukir.inflibnet.ac.in:8080/jspui/handle/123456789/3719-
dc.description.abstractThe endoscopic images do not contain sharp edges to segment using the traditional segmentation methods for obtaining edges. Therefore, the active contours or 'snakes' using level set method with the energy minimization algorithm is adapted here to segment these images. The result obtained from the above segmentation process will be of number of segmented regions. The analysis of the segmentation results shows that the abnormal images generate more number of regions as compared to the normal images. © 2006 IEEE.en_US
dc.titleEndoscopic image classification based on active contours without edgesen_US
dc.typeConference Paper
Appears in Collections:2. Conference Papers

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