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Proceedings Paper

Robust Texture Extractors For Real-Time Pyramidal Architectures
Author(s): Ivan Kadar; Erica J. Liebman
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Paper Abstract

A class of operators based on linear statistical models has been previously developed. The theory of experimental design-based operators - in general, the two-way analysis of variance and specifically Latin Squares designs specified previously - are extended here. Both global and local robust statistical mask texture/extractor operators/object detectors are developed and examined for significance with regard to parallel implementation on a pyramidal architecture. Possible real-time systolic array implementations are considered. Computer experiments using real-world noisy images and simulation results of a pyramidal processing architecture are shown to verify the theory and compare the performance measures of the new class of mask-operators with a more standard class of variance sensing.

Paper Details

Date Published: 18 July 1988
PDF: 10 pages
Proc. SPIE 0939, Hybrid Image and Signal Processing, (18 July 1988); doi: 10.1117/12.947046
Show Author Affiliations
Ivan Kadar, Grumman Corporation (United States)
Erica J. Liebman, Grumman Corporation (United States)

Published in SPIE Proceedings Vol. 0939:
Hybrid Image and Signal Processing
David P. Casasent; Andrew G. Tescher, Editor(s)

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