Ghosh, Ashish ; Pal, Nikhil R. ; Pal, Sankar K. (1992) Object background classification using Hopfield type neural network International Journal of Pattern Recognition and Artificial Intelligence, 6 (5). pp. 989-1008. ISSN 0218-0014
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Official URL: http://www.worldscinet.com/ijprai/06/0605/S0218001...
Related URL: http://dx.doi.org/10.1142/S0218001492000485
Abstract
Object extraction algorithms with a Neural Network (NN) are described. The objective function to be minimized for object extraction from a scene is shown to be similar to the expression of energy of a neural network. A modified version of Hopfield's Neural Network model is used here. The weights and input biases are given in such a way that the network self-organizes to form compact clusters. Both the discrete and the continuous dynamics of the network have been used for this purpose. Performance of the proposed methods has been compared with that of the relaxation technique.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to World Scientific Publishing Company. |
| Keywords: | Image Segmentation; Object Extraction; Self-organization; Neural Network |
| ID Code: | 77655 |
| Deposited On: | 14 Jan 2012 05:57 |
| Last Modified: | 14 Jan 2012 05:57 |
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