Wilson-Cowan neural network in image analysis

Kari Mantere; Jussi P. S. Parkkinen; Timo Jaeaeskelaeinen; Madan M. Gupta

doi:10.1117/12.58388

1 April 1992 Wilson-Cowan neural network in image analysis

Kari Mantere, Jussi P. S. Parkkinen, Timo Jaeaeskelaeinen, Madan M. Gupta

Proceedings Volume 1658, Nonlinear Image Processing III; (1992) https://doi.org/10.1117/12.58388
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

The neural network model based on the theory proposed by Wi1son—owan has been simulated using digitized real images. The Wilson—Cowan net can operate in different modes depending on the parameter selection, and it is shown to store images in reduced form and to recognize edges of object. Examples how the net process the input images are shown. Due to large number of neurons in this model, the preferable technique to simulate it should be parallel processing one. Optics serve highly parallelism and we propose a basic hybrid—optical processing unit for the Wilson—Cowan net.

Citation Download Citation

Kari Mantere, Jussi P. S. Parkkinen, Timo Jaeaeskelaeinen, and Madan M. Gupta "Wilson-Cowan neural network in image analysis", Proc. SPIE 1658, Nonlinear Image Processing III, (1 April 1992); https://doi.org/10.1117/12.58388

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