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Proceedings Paper

Deriving and combining biologically plausible visual processes with the windowed Radon transform
Author(s): Hawley K. Rising
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Paper Abstract

We present a generalization of the Radon transform which fits many tasks in image processing, and is useful in modeling the human visual system. In an analogy with wavelets, we propose a transform localized at points, and translated over the image plane, and refer to this as a parallel sensor transform. We examine the relationship between this transform and wavelet transforms developed to describe visual system processes. The transform captures the image data in that it is injective. Using this starting point, we present a continuous analog of the four stage edge detection breakdown by Bezdek et al., and arrive at a framework for casting many kinds of image processing algorithms in a biologically plausible manner: as feed forward, receptive field based algorithms using known operations. We show how this leads to an optimization scheme for Radon transform based algorithms and show the results of applying this theory to biologically plausible algorithms for motion and color processing.

Paper Details

Date Published: 17 July 1998
PDF: 7 pages
Proc. SPIE 3299, Human Vision and Electronic Imaging III, (17 July 1998); doi: 10.1117/12.320150
Show Author Affiliations
Hawley K. Rising, Sony Electronics (United States)


Published in SPIE Proceedings Vol. 3299:
Human Vision and Electronic Imaging III
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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