Browse > Article

Image Retrieval using Rotation Invariant Gabor Filter  

Kim, Dong-Hoon (연세대 전기전자공학과)
Shin, Dae-Kyu (연세대 전기전자공학과)
Kim, Hyun-Sool (삼성전자 정보통신)
Jung, Tae-Yun (강릉대 제어계측공학과)
Park, Sang-Hui (연세대 전기전자공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.51, no.7, 2002 , pp. 323-326 More about this Journal
Abstract
As multimedia database and digital image libraries are enlarged, CBIR(Content Based Image Retrieval) has been getting importance for the efficient search. Generally, CBIR uses primitive features such as color, shape, texture and so on. Among various methods of CBIR, Gabor wavelet has good image retrieval performance with texture features but it has a disadvantage which does not perform well for a rotated image because of its direction oriented filter. In this paper, we propose a new method to solve this problem by modifying Gabor filter for all directions. And then we will compare the searching performance of the proposed method with those of conventional image retrieval methods through experiments with trademarks.
Keywords
CBIR; Gabor wavelet; texture; primitive features;
Citations & Related Records
연도 인용수 순위
  • Reference
1 John Eakins and Margaret Graham, 'Content-based Image Retrieval', JISC Technology Applications report 39, OCT, 1999
2 A. Khotanzad and Y.H Hong, 'Invariants Image Recoginiton by Zernike Moments', IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 12, No. 5, pp. 489-497, May, 1990   DOI   ScienceOn
3 Van Essen D., 'Hierachial organization and functional streams in the visual cortex', Annual Review of Neuroscience, 2, 227-263, 1979   DOI   ScienceOn
4 M.J. Swain and D.H. Ballard, 'Color indexing' international Journal of Computer Vision, Vol. 7, No.1, pp11-32, 1991   DOI
5 Robert Porter and Nishan Canagarajah, 'Gabor Filter for Rotation Invariant Texture Classification', IEEE International Symposium on Circuits and Systems, June 9-12, 1997   DOI
6 B.S Manjunath and W.Y. Ma. 'Texture Features for Browsing and Retrieval of Image Data.' IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 18, No. 8, pp. 837-842, Aug, 1996   DOI   ScienceOn
7 A.C. Bovik, M. Clark and W.S Geisler, 'Multichannel Texture Analysis Using Localised Spatial Filters,' IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.12 no.1, pp.55-73, Jan. 1990   DOI   ScienceOn