A human vision based computational model for chromatic texture segregation
- 1 June 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
- Vol. 27 (3), 428-440
- https://doi.org/10.1109/3477.584950
Abstract
We have developed a computational model for texture perception which has physiological relevance and correlates well with human performance. The model attempts to simulate the visual processing characteristics by incorporating mechanisms tuned to detect luminance-polarity, orientation, spatial frequency and color, which are characteristic features of any textural image. We obtained a very good correlation between the model's simulation results and data from psychophysical experiments with a systematically selected set of visual stimuli with texture patterns defined by spatial variations in color, luminance, and orientation. In addition, the model predicts correctly texture segregation performance with key benchmarks and natural textures. This represents a first effort to incorporate chromatic signals in texture segregation models of psychophysical relevance, most of which have treated grey-level images so far. Another novel feature of the model is the extension or the concept of spatial double opponency to domains beyond color, such as orientation and spatial frequency. The model has potential applications in the areas of image processing, machine vision and pattern recognition, and scientific visualization.Keywords
This publication has 47 references indexed in Scilit:
- Double opponency as a generalized concept in texture segregation illustrated with stimuli defined by color, luminance, and orientationJournal of the Optical Society of America A, 1993
- Experimentally Obtained Thresholds for a Conditional-Replenishment Image-Sequence CoderJournal of Visual Communication and Image Representation, 1993
- Role of Inhibition in the Specification of Orientation Selectivity of Cells in the Cat Striate CortexVisual Neuroscience, 1989
- Contrast dependence and mechanisms of masking interactions among chromatic and luminance gratingsJournal of the Optical Society of America A, 1988
- Applications of computer graphics to the visualization of meteorological dataACM SIGGRAPH Computer Graphics, 1988
- Early orientation selection: Tangent fields and the dimensionality of their supportComputer Vision, Graphics, and Image Processing, 1985
- On discriminating visual textures and imagesPerception & Psychophysics, 1982
- Visual texture perception and Fourier analysisPerception & Psychophysics, 1978
- Experiments in the Visual Perception of TextureScientific American, 1975
- Visual Pattern DiscriminationIEEE Transactions on Information Theory, 1962