Abstract
Contemporary literature suggests that preattentive texture or pattern discrimination is induced by differences between local structure features or “textons”. This paper presents a model for the description of such local structure features based on the computation of local autocorrelations within the image. By means of this structure model a measure of structure dissimilarity is introduced. Experiments have been carried out to test a hypothesized relation between the detectability of a target pattern in a field of background patterns and the value of the structure dissimilarity measure. The experimental results show that it seems justified to relate, in a quantitative way, the detectability of the target pattern to the value of the structure dissimilarity measure.
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Kröse, B.J.A. Local structure analyzers as determinants of preattentive pattern discrimination. Biol. Cybernetics 55, 289–298 (1987). https://doi.org/10.1007/BF02281975
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DOI: https://doi.org/10.1007/BF02281975