Abstract

This paper presents experimental results on the detection by an observer of small objects of known shape on textured images. A method is proposed for describing the texture as a sum of random Gaussian fields of various intensities and spatial scales. The effect of the spatial scale of the texture elements and their intensity on the detectivity of the observer is investigated. Based on the resulting experimental data, expressions are proposed for estimating the correctdetection and false-alarm probabilities.

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