We perform subjective tests to determine the key parameters of low-level texture and color features for a previously proposed image segmentation algorithm. The parameters include thresholds for texture classification and feature similarity, as well as the window size for texture estimation. The subjective tests use small isolated patches of textures that correspond to homogeneous texture and color distributions. The goal is to determine what information such small image patches convey to human observers, and to relate those to image statistics. We show that this perceptual tuning of the segmentation algorithm leads to significant performance improvements.
|Original language||English (US)|
|Number of pages||5|
|Journal||Conference Record - Asilomar Conference on Signals, Systems and Computers|
|State||Published - Dec 1 2004|
ASJC Scopus subject areas