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
Original Manuscript: January 29, 2002
Revised Manuscript: September 12, 2002
Manuscript Accepted: September 12, 2002
Published: July 1, 2003
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)