Signature strength metrics for camouflaged targets corresponding to human perceptual cues

Anthony C. Copeland; Mohan M. Trivedi

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Signature strength metrics for camouflaged targets corresponding to human perceptual cues

机译：Signature strength metrics for camouflaged targets corresponding to human perceptual cues

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The goal of this research is to find signature strength metrics that correspond closely to the distinctness of a target as perceived by humans, especially for camouflaged targets. We consider metrics that attempt to measure the strength of three perceptual cues: contrast, texture differences, and boundary strength. The contrast cue is measured with first-order metrics, differences in texture are measured with a second-order metric, and boundary strength is measured by computing contrast along the target-background boundary. We discuss a psycho-physical experiment designed to generate quantitative measurements of perceived target distinctness for comparison with the target signature strength metrics. This experiment involves paired comparisons of image stimuli, each containing a single random target pattern embedded at a known location in a random background pattern. The data from the psy-chophysical experiment are compared with computed values of the target signature strength metrics, and a second-order image texture metric was found to exhibit the strongest correlation with the human data. # 1998 Society of Photo-Optical Instrumentation Engineers. S0091-3286 (98) 03402-3 Subject terms: target signature metrics; target discrimination; perceptual cues; texture; camouflage. Paper 29057 received May 29, 1997; revised manuscript received Sep. 6, 1997; accepted for publication Sep. 7, 1997. This paper is a revision of a paper presented at the SPIE conference on Algorithms for Synthetic Aperture Radar Imagery IV, April 1997, Orlando, FL. The paper presented there appears (unrefereed) in SPIE Proceedings Vol. 3070.

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《Optical Engineering》 |1998年第3期|582-591|共10页
作者
Anthony C. Copeland; Mohan M. Trivedi;
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University of California, San Diego Electrical Department Computer Vision and Robotics Research (CVRR) Laboratory La Jolla,/ California 92093-0407 E-mail:copeland @ macaw.ucsd.edu;

University of California, San Diego and Computer Engineering Department Computer Vision and Robotics Research (CVRR) Laboratory La Jolla,/ California 92093-0407 E-mail:copeland @ macaw.ucsd.edu;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
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Signature strength metrics for camouflaged targets corresponding to human perceptual cues

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