Local structure analyzers as determinants of preattentive pattern discrimination
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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.
KeywordsStructure Feature Structure Analyzer Autocorrelation Local Structure Dissimilarity Measure
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