Visual textures, machine vision and animal camouflage.

The psychophysics of visual texture perception and texture discrimination have been investigated extensively during the past 30 years. Humans have been the main study subjects, but some research on texture perception has involved other species, and there is good reason to think that the most general results from humans apply to other vertebrates as well. Psychophysicists have suggested that some of their findings on human vision reflect adaptive 'tricks' for countering prey camouflage, but this possibility has not been widely communicated to evolutionary biologists. We review the psychophysicists' main conclusions on texture discrimination, and list additional questions that their results raise when animal coats are considered as visual textures. We also suggest ways in which advances in computer vision can be combined with psychophysics to provide new perspectives on the function of animal coat patterns.

[1]  Ken Nakayama,et al.  Biological image motion processing: A review , 1985, Vision Research.

[2]  V. Ramachandran,et al.  The Neurobiology of Perception , 1985, Perception.

[3]  Frances Wilkinson,et al.  Visual texture segmentation in cats , 1986, Behavioural Brain Research.

[4]  F. H. Pough,et al.  Multiple cryptic effects of crossbanded and ringed patterns of snakes , 1976 .

[5]  Alex Pentland,et al.  Fractal-Based Description of Natural Scenes , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  D. Hubel,et al.  Segregation of form, color, movement, and depth: anatomy, physiology, and perception. , 1988, Science.

[7]  D J Field,et al.  Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[8]  Gregory C. DeAngelis,et al.  Depth is encoded in the visual cortex by a specialized receptive field structure , 1991, Nature.

[9]  G. F. Cooper,et al.  Development of the Brain depends on the Visual Environment , 1970, Nature.

[10]  J. Endler On the measurement and classification of colour in studies of animal colour patterns , 1990 .

[11]  B. Julesz Textons, the elements of texture perception, and their interactions , 1981, Nature.

[12]  James F. Jackson,et al.  The Dorsal Pigmentation Pattern of Snakes as an Antipredator Strategy: A Multivariate Approach , 1976, The American Naturalist.

[13]  K Nakayama,et al.  Stereoscopic Depth: Its Relation to Image Segmentation, Grouping, and the Recognition of Occluded Objects , 1989, Perception.

[14]  R. Kiltie Countershading: Universally deceptive or deceptively universal? , 1988, Trends in ecology & evolution.

[15]  B. S. Rubenstein,et al.  Spatial variability as a limiting factor in texture-discrimination tasks: implications for performance asymmetries. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[16]  M. Porat,et al.  Localized texture processing in vision: analysis and synthesis in the Gaborian space , 1989, IEEE Transactions on Biomedical Engineering.

[17]  J. Endler A Predator’s View of Animal Color Patterns , 1978 .

[18]  J. Gibson The perception of the visual world , 1951 .

[19]  John G. Daugman,et al.  Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression , 1988, IEEE Trans. Acoust. Speech Signal Process..

[20]  Norberto M. Grzywacz,et al.  A computational theory for the perception of coherent visual motion , 1988, Nature.

[21]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  B. Julesz Foundations of Cyclopean Perception , 1971 .

[23]  Michael Unser,et al.  Multiresolution Feature Extraction and Selection for Texture Segmentation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  B Julesz,et al.  Experiments in the visual perception of texture. , 1975, Scientific American.

[25]  J. Lythgoe,et al.  Zebra stripes and tiger stripes: the spatial frequency distribution of the pattern compared to that of the background is significant in display and crypsis , 1987 .

[26]  J.G. Daugman,et al.  Entropy reduction and decorrelation in visual coding by oriented neural receptive fields , 1989, IEEE Transactions on Biomedical Engineering.