Computational measures corresponding to perceptual textural features

被引：5

作者：

Abbadeni, N ^{[1
]}

Ziou, D ^{[1
]}

Wang, SR ^{[1
]}

机构：

[1] Univ Sherbrooke, Sci DMI, Sherbrooke, PQ J1K 2R1, Canada

来源：

2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS | 2000年

关键词：

textural features; autocovariance; computational measures; human visual perception; psychometrics;

D O I：

10.1109/ICIP.2000.899601

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Texture is a very important image feature extremely used in various image processing problems It has been shown that humans use some perceptual textural features to distinguish between textured images or regions. Some of the most important features are coarseness, contrast, direction and busyness. In this paper a new method based on the autocovariance function to estimate quantitatively these features is shown and the correspondence between these computational measures and the psychological ones made by human subjects is shown using some psychometric method.

引用

页码：897 / 900

页数：4

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