Image matching using enclosed region detector

  • Authors:

  • Wei Zhang;Q.M. Jonathan Wu;Guanghui Wang;Xinge You;Yongfang Wang

  • Affiliations:

  • Computer Vision and Sensing Systems Laboratory (CVSSL), Department of Electrical and Computer Engineering, University of Windsor, Windsor, Ontario, N9B 3P4 Canada and Department of Electronics and ...;Computer Vision and Sensing Systems Laboratory (CVSSL), Department of Electrical and Computer Engineering, University of Windsor, Windsor, Ontario, N9B 3P4 Canada;Computer Vision and Sensing Systems Laboratory (CVSSL), Department of Electrical and Computer Engineering, University of Windsor, Windsor, Ontario, N9B 3P4 Canada;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hubei, 430074, China;School of Communication and Information Engineering, Shanghai University, Shanghai, 200072, China

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2010

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Abstract

Affine-invariant region detection is the basic technique for visual matching and has been widely applied in many areas. In this paper, we propose a simple yet effective method to detect the affine-invariant regions from gray image, which is called enclosedregion. The enclosed region is detected based on the observation that one physical object is enclosed by the same region before and after affine transformation. The proposed method is a three-step method. Firstly, we segment the initial regions by using thresholds on the image. Secondly, external enclosing region (EER) and internal enclosed region (IER) are defined for each initial region, and we select the enclosed regions from the initial regions through applying histogram constraints on EER and IER. Thirdly, the largely overlapping regions are removed. Experiments on typical images exhibit the robustness of the proposed enclosed region detector. Extensively quantitative evaluation and comparison demonstrate that the proposed method outperforms state-of-the-art methods.