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Modelling Active Contours using Neural Networks Isomorphic to Boundaries

Venkatesh, YV and Rishikesh, N (1997) Modelling Active Contours using Neural Networks Isomorphic to Boundaries. In: International Conference on Neural Networks,1997, 9-12 June, Houston,Texas, Vol.3, 1669 -1672.

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Abstract

We propose a new technique, based on self-organization, for localizing salient contours in an image, with applications to, for instance, object and character recognition, stereopsis and motion trucking. A neuronal network which is isomorphic to the template/initial contour is created. This network acts as an active contour, which, using self organization, undergoes deformation in an attempt to cling on to the nearest salient contour in the test image. The application areas of the model proposed are similar to ‘snake’ [2], but distinct from it both in the underlying mathematics and implementation. The new technique is illustrated with some examples.

Item Type: Conference Paper
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Active contours;Deformable templates;Deformation of Patterns;Isomorphism;Mapping of Patterns; Neural networks;Self-Organization;Snakes
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: HS Usha
Date Deposited: 21 Apr 2006
Last Modified: 19 Sep 2010 04:25
URI: http://eprints.iisc.ac.in/id/eprint/6398

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