Title :
New Color Cluster Algorithm for Image Retrieval
Author :
Weisheng Li ; Wang, Weixing ; Liu, Minxiang
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
To overcome the disadvantage of describing contents of an image only with global features, a new color cluster image retrieval algorithm based on object regions is proposed. In this paper, firstly, object regions are extracted from an image, and then a new color cluster algorithm is presented. The algorithm is developed based on HVS color space, histogram intersection and combination of two similarity values. The algorithm has been coded into a program, which runs under Windows system in a PC. It has been tested on a large image library, and the testing results show that it works fast and is irrelative to the image background colors.
Keywords :
feature extraction; image colour analysis; image retrieval; HVS color space; color cluster algorithm; histogram intersection; image retrieval; object region extraction; similarity value combination; Clustering algorithms; Content based retrieval; Data mining; Histograms; Image color analysis; Image databases; Image retrieval; Indexing; Information retrieval; System testing;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.468
