We present a few applications of the neural active contour model described by Venkatesh Rishikesh (see International Conference on Neural Networks (ICNN-97), Houston, Texas, USA, 1997). The model, which is a neural network based on the principles of self-organization, exploits the principles of spatial isomorphism and self-organization in order to create flexible contours for characterizing shapes in images. We illustrate the versatility of the model by presenting its applications to the problems of boundary extraction, stereo vision, biomedical image analysis and digital image libraries. Only the essential ideas are described
Published in:
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
(Volume:3
)
Date of Conference: 9-12 Sep 1997