Content-based image retrieval based on rectangular segmentation

  • Authors:
  • Chan-Fong Wong;Chi-Man Pun

  • Affiliations:
  • Department of Computer and Information Science, University of Macau, Macau, SAR, China;Department of Computer and Information Science, University of Macau, Macau, SAR, China

  • Venue:
  • SIP'08 Proceedings of the 7th WSEAS International Conference on Signal Processing
  • Year:
  • 2008

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Abstract

In this paper, we present a new framework for effective content-based image retrieval (CBIR) based on rectangular segmentation. In image segmentation, speed is more important than accuracy in CBIR. We propose a new rectangular approximate image segmentation to solve the problem. We also develop a significance function to reflect the importance of different position in image, and improve the segmentation and retrieval performance. Finally, we present a similarity measure between images with multi-objects. Experimental results show that the proposed method is more efficient and achieves higher precision on image retrieval of a large dataset.