Robust Texture Extractors For Real-Time Pyramidal Architectures

Ivan Kadar; Erica J. Liebman

doi:10.1117/12.947046

18 July 1988 Robust Texture Extractors For Real-Time Pyramidal Architectures

Ivan Kadar, Erica J. Liebman

Proceedings Volume 0939, Hybrid Image and Signal Processing; (1988) https://doi.org/10.1117/12.947046
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

Ivan Kadar and Erica J. Liebman "Robust Texture Extractors For Real-Time Pyramidal Architectures", Proc. SPIE 0939, Hybrid Image and Signal Processing, (18 July 1988); https://doi.org/10.1117/12.947046

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