Modeling visual sensitivity to spatial correlations in gray-level textures
Modeling visual sensitivity to spatial correlations in gray-level textures is a scholarly work by Jonathan David Victor, published in 2018 in ''Journal of Vision''. The main subjects of the publication include segmentation, correlation, artificial intelligence, surface roughness, spatial frequency, computer vision, gray, statistics, color constancy, mathematics, pattern recognition, and computer science. The authors examined two kinds of spatial correlations: "stepped gradients," in which the contrast of adjacent checks tended to increase gradually or decrease abruptly in one direction, and "streaks," in which adjacent checks tended to have the same intensity.