DocumentCode :
2388507
Title :
A novel content based image retrieval system using K-means with feature extraction
Author :
Ho, Jan-Ming ; Lin, Shu-Yu ; Fann, Chi-Wen ; Wang, Yu-Chun ; Chang, Ray-I
Author_Institution :
Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan
fYear :
2012
fDate :
19-20 May 2012
Firstpage :
785
Lastpage :
790
Abstract :
Image retrieval has been popular for several years. There are different system designs for content based image retrieval (CBIR) system. This paper propose a novel system architecture for CBIR system which combines techniques include content-based image and color analysis, as well as data mining techniques. To our best knowledge, this is the first time to propose segmentation and grid module, feature extraction module, K-means clustering and bring in the neighborhood module to build the CBIR system. Concept of neighborhood color analysis module which also recognizes the side of every grids of image is first contributed in this paper. The results show the CBIR systems performs well in the training and it also indicates there contains many interested issue to be optimized in the query stage of image retrieval.
Keywords :
content-based retrieval; data mining; feature extraction; image colour analysis; image retrieval; pattern clustering; CBIR; K-means clustering; content based color analysis; content based image; data mining techniques; feature extraction; grid module; neighborhood module; novel content based image retrieval system; query stage optimisation; Clustering algorithms; Feature extraction; Histograms; Image color analysis; Image retrieval; Shape; Training; K-means clustering; content based images retrieval; feature extraction; image retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
Type :
conf
DOI :
10.1109/ICSAI.2012.6223128
Filename :
6223128
Link To Document :
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