Paper
17 July 1998 Deriving and combining biologically plausible visual processes with the windowed Radon transform
Author Affiliations +
Proceedings Volume 3299, Human Vision and Electronic Imaging III; (1998) https://doi.org/10.1117/12.320150
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hawley K. Rising III "Deriving and combining biologically plausible visual processes with the windowed Radon transform", Proc. SPIE 3299, Human Vision and Electronic Imaging III, (17 July 1998); https://doi.org/10.1117/12.320150
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Radon transform

Visual system

Sensors

Visual process modeling

Image analysis

Image processing

Optical spheres

RELATED CONTENT

Inversion processes in the human visual system
Proceedings of SPIE (June 02 2000)
Assessment of synthetic image fidelity
Proceedings of SPIE (August 06 2002)
Creases and edge analysis
Proceedings of SPIE (August 14 2001)

Back to Top