Massively parallel signal processing architecture based on response of retina cells

Nathan A. Wilkins; Mustafa A. G. Abushagur; H. John Caulfield

doi:10.1117/12.190877

28 October 1994 Massively parallel signal processing architecture based on response of retina cells

Nathan A. Wilkins, Mustafa A. G. Abushagur, H. John Caulfield

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Proceedings Volume 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V; (1994) https://doi.org/10.1117/12.190877
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

A massively parallel signal and image processing architecture is considered. The architecture is comprised of 2D arrays of cells that simulate the response of retina neurons. The results of simulations are compared to previously published experimental results and the system is applied to detection of spatio-temporal features in sequences of images representative of pulse- doppler radar images. By arranging the output layer so that the cells respond to various key input features an array of feature extraction cells can be obtained. The system is characterized by developing an image space to feature space mapping.

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Nathan A. Wilkins, Mustafa A. G. Abushagur, and H. John Caulfield "Massively parallel signal processing architecture based on response of retina cells", Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); https://doi.org/10.1117/12.190877

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