Predicting human observer performance with response equivalent delta-T

James R. McManamey

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Predicting human observer performance with response equivalent delta-T

机译：Predicting human observer performance with response equivalent delta-T

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Blackwell described observer performance in terms of three variables: target size, contrast, and overall brightness. However, Black-well's experiments involved uniform targets and backgrounds. Formulations for effective contrast to enable applying his data to generalized problems have resulted in substantial differences between observed and expected results. Response equivalent delta-T (REDT) is designed to solve this problem. REDT is a contrast metric that is defined in terms the distance between a signature point and an experimentally derived threshold response surface. It provides more realistic predictions of target detectability than more customary contrast metrics in many situations involving nonuniform targets and backgrounds. In an appropriately controlled experiment, a correlation coefficient of 0.982 is obtained between observer data and REDT values. Although REDT has not been demonstrated to significantly outperform other contrast metrics in realistic applications, the scatter in such data can be understood in terms of uncontrolled variations in clutter, target size, and second-order image statistics, which describe texture. Gray-level cooccurrence matrices provide a plausible tool for understanding situations in which REDT fails to perform well. REDT is most appropriate when targets are small, resolution is Iow, and clutter is moderate to high. # 1998 Society of Photo-Optical Instrumentation Engineers. S0091-3286(98)00107-X Subject terms: effective contrast; observer modeling; target detection; signature evaluation. Paper TAM-01 received Feb. 11, 1998; revised manuscript received Feb.13, 1998; accepted for publication Feb. 13, 1998.

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《Optical Engineering》 |1998年第9期|1960-1968|共9页
作者
James R. McManamey;
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U.S. Army Night Vision and Electronic Sensors Directorate AMSEL-RD-NV-SSA-SAM (McManamey)/ 10221 Burbeck Road, Suite 430 Fort Belvoir, Virginia 22060-5806 E-mail: jmcmanam@ nvl.army.mil;

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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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Predicting human observer performance with response equivalent delta-T

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