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
Full Article | PDF ArticleMore Like This
C. A. Párraga, G. Brelstaff, T. Troscianko, and I. R. Moorehead
J. Opt. Soc. Am. A 15(3) 563-569 (1998)
Keiji Uchikawa, Kazuho Fukuda, Yusuke Kitazawa, and Donald I. A. MacLeod
J. Opt. Soc. Am. A 29(2) A133-A143 (2012)
Cristina Montagner, João M. M. Linhares, Márcia Vilarigues, and Sérgio M. C. Nascimento
J. Opt. Soc. Am. A 33(3) A170-A177 (2016)