@inproceedings{oai:nagoya.repo.nii.ac.jp:00008683,
 author = {Bashar, M.K. and Ohnishi, N.},
 book = {4th Symposium on "Intelligent Media Integration for Social Information Infrastructure" December 7-8, 2006},
 month = {Dec},
 note = {Despite simplicity of the Local binary patterns(LBP) or local edge patterns(LEP)for texture description, they do not always convey complex pattern information. Hence we propose a new descriptor called Local Contrast Patterns(LCP), which encode the joint diffefrence distribution of patterns (edges, points, blobs) attributed by multi-order image derivatives. While a suitable derivative appears sufficient for texture representation, we proposed two simple algorithms that combines nine dirrectional derivatives through local bit frequency and contrast-ratio maximization. Global RGB color histogram is then combined with the proposed LCP for color-texture retrieval. Experiments with the grayscale (Brodatz album) and color-texture (MIT VisTex) databases show very impressive outcomes by the proposed approach.},
 pages = {55--56},
 publisher = {INTELLIGENT MEDIA INTEGRATION  NAGOYA UNIVERSITY / COE},
 title = {Image Retrieval By Local Contrast Patterns and Color Histogram},
 year = {2006}
}