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used to evaluate these computational measures with respect to human measures is depicted and experimental results are given. It should be noted that the study reported here was tested on a sample of 12 images ( Fig. 1) from Brodatz database [4]. This sample of images has been chosen to be largely representative.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.

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