15th International Conference on Pattern Recognition (ICPR'00) - Volume 3 Autocovariance-based Perceptual Textural Features Corresponding to Human Visual Perception Barcelona, Spain September 03-September 08 ISBN: 0-7695-0750-6
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||