1986
DOI: 10.3758/bf03207581
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Visual texture segregation based on orientation and hue

Abstract: We investigated visual texture segregation, using a task for which reaction time to locate a discrepant quadrant in an array of 36 elements was the dependent measure. Two dimensions of segregation were used: line orientation (horizontal vs. vertical, horizontal vs. left diagonal, and left vs. right diagonal) and hue (9 vs. 7 Munsell color steps). Levels on these two dimensions were varied singly to produce control arrays, in orthogonal combination to measure possible interference effects, and in redundant comb… Show more

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Cited by 50 publications
(58 citation statements)
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References 12 publications
(31 reference statements)
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“…The primary aim of the present experiments was to provide further support for the proposal that within-region similarity is an important factor in texture segregation (Beck, 1982;Callaghan et al, 1986;Enos, 1986;Olson & Attneave, 1970). The procedure established by the author was employed in the present experiments with stimuli that varied on the dimensions of hue and geometric form.…”
Section: Purpose Of the Present Experimentsmentioning
confidence: 97%
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“…The primary aim of the present experiments was to provide further support for the proposal that within-region similarity is an important factor in texture segregation (Beck, 1982;Callaghan et al, 1986;Enos, 1986;Olson & Attneave, 1970). The procedure established by the author was employed in the present experiments with stimuli that varied on the dimensions of hue and geometric form.…”
Section: Purpose Of the Present Experimentsmentioning
confidence: 97%
“…On the basis of the Gestalt notion of similarity grouping, it has been proposed that the process of texture segregation will be enhanced not only by high dissimilarity of elements between regions, but also by high similarity of elements within regions (Beck, 1982;Callaghan et al, 1986;Eons, 1986;Olson & Attneave, 1970). Although much research has been devoted to the study of between-region differences, at least two lines of evidence support the importance of withinregion differences.…”
Section: Within-region Similarity and Between-region Differencesmentioning
confidence: 99%
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