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| Active Contours Without Edges and Curvature Analysis for Endoscopic Image Classification.
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Full
text: |
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Source |
International Journal of Computer Science and Security (IJCSS) |
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Table of Contents |
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Complete Issue PDF(1.56MB) |
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Volume: 1 Issue: 1 |
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Pages: 1-96 |
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Publication
Date: June 2007 |
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ISSN
(Online): 1985-1553 |
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Pages |
19 - 32 |
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Author(s) |
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Published
Date |
30-06-2007 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Active Contours, Curvature, Endoscopy, Jacobi method, Level sets |
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| 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
adopted here to segment these images. The results obtained from the above
segmentation process will be number of segmented regions. The boundary of
each region is considered as a curve for further processing. The curvature for
each point of this curve is computed considering the support region of each point.
The possible presence of abnormality is identified, when curvature of the contour
segment between two zero crossings has the opposite curvature signs to those
of such neighboring contour segments on the same edge contours. The Knearest
neighbor classifier is used to classify the images as normal or abnormal.
The experiment based on the proposed method is carried out on 50 normal and
50 abnormal endoscopic images and the results are encouraging. |
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Tony F. Chan, Luminita A. Vese, “Active Contours without Edges”, IEEE Transactions on Image Processing, 10(2), 2001
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S. Osher, J. A. Sethian, “Front propagating with curvature dependent speed: Algorithm based on Hamilton-Jacobi formulation”, Journal of Computational Physics, 79:12-49, 1988
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D. Mumford, J. Shah, “Optimal approximation by piecewise smooth functions and associated variational problems”, Communications on Pure and Applied Mathematics, 42:577-685,1989
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D. Shikha and B.V. Dhandra, “Abnormality Detection in Endoscopic Images of Throat Cancer by Morphological Operations ”, Indian Stream Research Journal, 1(4), pp. 1-14, 2011.
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Academia.edu
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| B.V.Dhandra : Colleagues
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| Ravindra Hegadi : Colleagues
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