Some applications of active contours using ANNs isomorphic to boundaries

Author

Venkatesh, Y.V. ; Rishikesh, N.

Author_Institution

Comput. Vision & Artificial Intelligence Lab., Indian Inst. of Sci., Bangalore, India

Volume

3

fYear

1997

fDate

9-12 Sep 1997

Firstpage

1547

Abstract

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

Keywords

edge detection; feature extraction; image segmentation; medical image processing; self-organising feature maps; stereo image processing; visual perception; ANN; biomedical image analysis; boundary extraction; digital image libraries; image segmentation; image shapes; neural active contour model; self-organization; spatial isomorphism; stereo vision; Active contours; Application software; Artificial neural networks; Computer vision; Deformable models; Image edge detection; Image motion analysis; Shape; Stereo vision; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on

Print_ISBN

0-7803-3676-3

Type

conf

DOI

10.1109/ICICS.1997.652253

Filename

652253