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Autocovariance-based Perceptual Textural Features Corresponding to Human Visual Perception
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90368915th International Conference on Patt ...
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Noureddine Abbadeni, Universit? de Sherbrooke
Djemel Ziou, Universit? de Sherbrooke
Shengrui Wang, Universit? de Sherbrooke
It has been shown that humans use some perceptual textural features such as coarseness, contrast and direction to distinguish between textured images or regions. The aim of this paper is to present a new method to estimate these perceptual textural features using the autocovariance function. Computational measures derived from the autocovariance function to estimate these perceptual textural features are presented. Experimental results are then given and the correspondence between the computational measures proposed and the psychological measures is shown using some psychometric method.
Citation:
Noureddine Abbadeni, Djemel Ziou, Shengrui Wang, "Autocovariance-based Perceptual Textural Features Corresponding to Human Visual Perception," icpr, vol. 3, pp.3913, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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