@inproceedings{397bb9d9bca94886a07a9fd4894a9825,
title = "An easy dominant color extraction and edge valley histogram for image retrieval",
abstract = "This paper adopts a content-based image retrieval method based on an efficient combination of dominant colors and edge valley histogram. The dominant colors, which are the most frequently appeared colors in RGB color space, are easy to extract and closed human perception. Edge valley histogram represents the motifs of the edge and valley blocks in images. The two histograms with the discriminative motifs are easy to compute. Experimental results show that the proposed method has higher retrieval accuracy than Lu and Chang's method, BDIP and BVLC, MCM and EDH even though its number of features is not greater than theirs. So the features can represent images discriminatively.",
keywords = "CBIR, Difference between pixels of scan pattern (DBPSP), Dominant color, Edge histogram, Valley histogram",
author = "Yu, {Shyr Shen} and Huang, {Shiow Yuan} and Pan, {Ying Hsin} and Wu, {Hsien Chu}",
year = "2010",
doi = "10.1109/COMPSYM.2010.5685526",
language = "英语",
isbn = "9781424476404",
series = "ICS 2010 - International Computer Symposium",
pages = "159--164",
booktitle = "ICS 2010 - International Computer Symposium",
note = "2010 International Computer Symposium, ICS 2010 ; Conference date: 16-12-2010 Through 18-12-2010",
}