대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

변형된 지역 Gabor Feature를 이용한 VQ 기반의 영상 검색

Image Retrieval using VQ based Local Modified Gabor Feature

  • 신대규 (연세대학교 전기 전자 공학과) ;
  • 김현술 (연세대학교 전기 전자 공학과) ;
  • 박상희 (연세대학교 전기 전자 공학과)
  • Shin, Dae-Kyu (Dept. of Electrical & Electronic Eng., Yonsei Univ.) ;
  • Kim, Hyun-Sool (Dept. of Electrical & Electronic Eng., Yonsei Univ.) ;
  • Park, Sang-Hui (Dept. of Electrical & Electronic Eng., Yonsei Univ.)
  • 발행 : 2001.07.18
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초록

This paper proposes a new method of retrieving images from large image databases. The method is based on VQ(Vector Quantization) of local texture information at interest points automatically detected in an image. The texture features are extracted by Gabor wavelet filter bank, and rearranged for rotation. These features are classified by VQ and then construct a pattern histogram. Retrievals are performed by just comparing pattern histograms between images. Experimental results have shown the robustness of the proposed method to image rotation, small scale change, noise addition and brightness change and also shown the possibility of the retrieval by a partial image.

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