Title of article :
A Six-Stimulus Theory for Stochastic Texture
Author/Authors :
JAN-MARK GEUSEBROEK AND ARNOLD W.M. SMEULDERS، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Pages :
10
From page :
7
To page :
16
Abstract :
We report a six-stimulus basis for stochastic texture perception. Fragmentation of the scene by a chaotic process causes the spatial scene statistics to conform to a Weibull-distribution. The parameters of the Weibull distribution characterize the spatial structure of uniform stochastic textures of many different origins completely. In this paper, we report the perceptual significance of the Weibull parameters. We demonstrate the parameters to be sensitive to orthogonal variations in the imaging conditions, specifically to the illumination conditions, camera magnification and resolving power, and the texture orientation. Apparently, the Weibull parameters form a sixstimulus basis for stochastic texture description. The results indicate that texture perception can be approached like the experimental science of colorimetry.
Keywords :
natural image statistics , Texture , fragmentation
Journal title :
INTERNATIONAL JOURNAL OF COMPUTER VISION
Serial Year :
2005
Journal title :
INTERNATIONAL JOURNAL OF COMPUTER VISION
Record number :
828111
Link To Document :
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