A novel SOM-based approach for active contour modeling

Abstract : In this paper, we integrate the advantages of SOM- and snake-based ACMs in order to extract the desired contour from images. We employ: (i) the feature points to guide the contour, as in the case of SOM-based ACMs; (ii) the gradient and intensity variations in a local region to control the contour movement. However, in contrast with the snake-based ACMs, we do not use an explicit energy functional based on gradient or intensity. The algorithm is tested on synthetic binary and gray-level images, and the results show the superiority of the proposed algorithm over other conventional SOM- and snake-based ACM algorithms.
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Communication dans un congrès
Intelligent Sensors, Sensor Networks and Information (ISSNIP '04), Dec 2004, Melbourne, Australia. IEEE Computer Society, pp.229--234, 2004, 〈10.1109/ISSNIP.2004.1417467〉
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Contributeur : Team Perception <>
Soumis le : mardi 3 mai 2011 - 09:29:51
Dernière modification le : vendredi 6 mai 2011 - 12:10:02

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Yedatore-Venkatakrishnaiya Venkatesh, S.Kumar Raja, Ramya Narasimha. A novel SOM-based approach for active contour modeling. Intelligent Sensors, Sensor Networks and Information (ISSNIP '04), Dec 2004, Melbourne, Australia. IEEE Computer Society, pp.229--234, 2004, 〈10.1109/ISSNIP.2004.1417467〉. 〈inria-00590182〉

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