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DCT-Based Images Retrieval for Rotated Images

회전에 견고한 DCT 기반 영상 검색

  • Received : 2010.12.22
  • Accepted : 2011.03.16
  • Published : 2011.04.28

Abstract

The image retrieval generally shows the same or similar images to a query image as a result. In the case of rotated image, however, its performance tends to be debased significantly. We propose a method to ensure a reliable image retrieval of rotated images as follows; First, to obtain feature points of query/DB images by Harris Corner Detector; and then, utilizing the feature points, to find the object's axis and query/DB images into rotation invariant images with Principal Components Analysis algorithm. We have experimented with 6,000 natural images which are 256 pixels in diameter. They are 1,000 Wang's images and their rotated images by $30^{\circ}$, $45^{\circ}$, $90^{\circ}$, $135^{\circ}$ and $180^{\circ}$. The simulation results show that the proposed method retrieves rotated images more effectively than the conventional method.

Keywords

Harris Corner Detector;Principal Components Analysis;Rotated Image;Image Retrieval

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