Surface segmentation based on the luminance and color statistics of natural scenes
JOSA A, Vol. 20, Issue 7, pp. 1283-1291 (2003)
http://dx.doi.org/10.1364/JOSAA.20.001283
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Abstract
The luminance and color of surfaces in natural scenes are relatively independent under certain linear transformations, with the luminance of a surface providing little information about the color of that surface, and vice versa. However, differences in luminance between two locations in a natural scene remain strongly associated with differences in color. We used the statistics of the spatiochromatic structure of natural scenes as the priors for a Bayesian model that decides whether or not two points within an image fall on the same surface. This model provides a biologically plausible algorithm for surface segmentation that models observer segmentations well.
© 2003 Optical Society of America
[Optical Society of America ]
OCIS Codes
(330.1690) Vision, color, and visual optics : Color
(330.1720) Vision, color, and visual optics : Color vision
(330.4060) Vision, color, and visual optics : Vision modeling
Citation
Ione Fine, Donald I. A. MacLeod, and Geoffrey M. Boynton, "Surface segmentation based on the luminance and color statistics of natural scenes," J. Opt. Soc. Am. A 20, 1283-1291 (2003)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-20-7-1283
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