A fast rotated template matching based on point feature

Yuhai Li; Jian Liu; Jinwen Tian; Hongbo Xu

doi:10.1117/12.654932

3 November 2005 A fast rotated template matching based on point feature

Yuhai Li, Jian Liu, Jinwen Tian, Hongbo Xu

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60431P (2005) https://doi.org/10.1117/12.654932
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

Template matching has many applications in signal processing, image processing, pattern recognition, and video compressing. It can find a desired template in the large reference image by sliding the template window in a pixel-by-pixel basis, computing the degree of similarity between them, and searching position with the largest similarity measurement. It is computationally expensive to search for every possible position of the template window within the larger reference image. When a rotation exists between the template and the reference image, the conventional template matching algorithm described above is no t practical for real-time processing. In this paper, a fast algorithm is proposed to match the rotated template, which consists of two steps: firstly, the possible rotation angle is detected based on the principle orientation, and then the optimal matching position is searched by matching the edge map. Experimental results on a variety of real images have shown the efficacy of the proposed method.

Citation Download Citation

Yuhai Li, Jian Liu, Jinwen Tian, and Hongbo Xu "A fast rotated template matching based on point feature", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431P (3 November 2005); https://doi.org/10.1117/12.654932

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