Browse > Article
http://dx.doi.org/10.3745/KIPSTB.2006.13B.1.047

Content-Based Image Retrieval using Region Feature Vector  

Kim Dong-Woo (충북대학교 IT누리)
Song Young-Jun (충북대학교 전기전자컴퓨터공학부)
Kim Young-Gil (충북대학교 정보통신공학과)
Ah Jae-Hyeong (충북대학교 전기전자공학부)
Publication Information
The KIPS Transactions:PartB / v.13B, no.1, 2006 , pp. 47-52 More about this Journal
Abstract
This paper proposes a method of content-based image retrieval using region feature vector in order to overcome disadvantages of existing color histogram methods. The color histogram methods have a weak point that reduces accuracy because of quantization error, and more. In order to solve this, we convert color information to HSV space and quantize hue factor being purecolor information and calculate histogram and then use thus for retrieval feature that is robust in brightness, movement, and rotation. Also we solve an insufficient part that is the most serious problem in color histogram methods by dividing an image into sixteen regions and then comparing each region. We improve accuracy by edge and DC of DCT transformation. As a result of experimenting with 1,000 color images, the proposed method has showed better precision than the existing methods.
Keywords
CBIR; Feature Extraction; Color Indexing; Color Histogram; Similarity Comparison;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 M. K. Mandal, T. Aboulnasr, and S. Panchanathan. 'Image indexing using moments and wavelets.' IEEE Trans. on Computer Electronics, Vol.42, No.3, pp.557-565, 1996   DOI   ScienceOn
2 J. Z. Wang, J. Li, and G. Wiederhold, 'SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries,' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.23, No.9, pp.947-963, 2001   DOI   ScienceOn
3 염성주, 김우생, '형태와 컬러 성분을 이용한 효율적인 내용기반의 이미지 검색 방법', 한국정보처리학회논문지, 제3권, 제4호, pp.733-744, 1996   과학기술학회마을
4 H. B. Kang, 'A new content-based scene change detection method on compressed video,' TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications. Proceedings of IEEE, Vol.1, pp.195-198, 1997   DOI
5 류은주, 송영준, 박원배, 안재형, '중앙 영역의 컬러 특징과 최적화된 빈 수를 이용한 내용기반 영상검색', 한국정보처리학회논문지, 제11-B권, 제5호, pp.581-586, 2004   과학기술학회마을   DOI
6 M. J. Swain and D. H. Ballard, 'Color indexing.' International Journal of Computer Vision, Vol.7, No.1, pp.11-32, 1991   DOI
7 박원배, '내용기반 영상 검색을 위한 시각 특징 추출 기법,' 충북대학교 박사학위논문, 2004
8 Y. J. Song, W. B. Park, D. W. Kim, and J. H. Ahn, 'Content-based Image Retrieval using new color histogram,' ISPA 2004, pp.609-611, 2004   DOI
9 J. H. Han, D. S. Huang, T. M. Lok, and M. R. Lyu, 'A novel image retrieval system based on BP neural network, CBIR using perception based texture and colour measures,' The 2005 IJCNN, pp.2561-2564, 2005   DOI
10 J. H. Han, D. S. Huang, 'A novel BP based image retrieval system,' The IEEE ISCAS 2005, pp.1557-1560, 2005   DOI
11 S. K. Chang, C. W. Yan, D. C. Dimitroff, and T. Arndt, 'An intelligent image database system,' IEEE Trans. Software Eng., Vol.14, No.5, pp.681-688, 1988   DOI   ScienceOn
12 J. Eakins and M. Graham, Content-based image retrieval, JSIC Technology Application Report, 1999
13 S. K. Saha, A. K. Das, and B. Chanda, 'CBIR using perception based texture and colour measures,' Pattern Recognition ICPR 2004. Proceedings of the 17th International Conference, Vol.2, pp.985-988, 2004   DOI