Perceptually-tuned multiscale color-texture segmentation
Junqing Chen, Thrasyvoulos N. Pappas, et al.
ICIP 2004
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. ©2004 IEEE.
Junqing Chen, Thrasyvoulos N. Pappas, et al.
ICIP 2004
Bernice E. Rogowitz, Thrasyvoulos N. Pappas, et al.
Journal of Electronic Imaging
Aleksandra Mojsilovic
ICIP 2002
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SOLI 2013