International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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A Rotation Invariant Image Retrieval with Local Features

  • You, Hee-Jun (Department Electrical and Electronic Engineering, Yonsei University) ;
  • Shin, Dae-Kyu (Telecommunication R & D Center, Samsung Electronics Co., LTD.,) ;
  • Kim, Dong-Hoon (Mobile Communication Division, Samsung Electronics Co., LTD.,) ;
  • Kim, Hyun-Sool (Mobile Communication Division, Samsung Electronics Co., LTD.,) ;
  • Park, Sang-Hui (Department Electrical and Electronic Engineering, Yonsei University)
  • Published : 2003.09.01
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Abstract

Content-based image retrieval is the research of images from database, that are visually similar to given image examples. Gabor functions and Gabor filters are regarded as excellent methods for feature extraction and texture segmentation. However, they have a disadvantage not to perform well in case of a rotated image because of its direction-oriented filter. This paper proposes a method of extracting local texture features from blocks with central interest points detected in an image and a rotation invariant Gabor wavelet filter. We also propose a method of comparing pattern histograms of features classified by VQ (Vector Quantization) among images.

Keywords

References

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