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Proceedings Paper

Image template matching based on ratio of mean and central pixel in local area
Author(s): M. Moritani; F. Saitoh
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Paper Abstract

This paper proposes a template matching method (RMCM: Ratio of Mean and Central pixel's residual sum Matching), which is based on a residual sum of ratio of mean in local area and its central pixel's gray-level in a template image. In the method, the ratio of mean and its central pixel's are registered in a local area whose center is every pixel in a template image. The target image area is searched from the matching ratio, which is obtained by residual sum between target image and template image whose correlation has been registered. The experimental results show that the proposed method had equal or better robustness to the inferior factors of objective images in comparison with the two typical conventional template matching methods.

Paper Details

Date Published: 9 January 2008
PDF: 6 pages
Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67944I (9 January 2008); doi: 10.1117/12.784075
Show Author Affiliations
M. Moritani, Gifu Univ. (Japan)
F. Saitoh, Gifu Univ. (Japan)

Published in SPIE Proceedings Vol. 6794:
ICMIT 2007: Mechatronics, MEMS, and Smart Materials
Minoru Sasaki; Gisang Choi Sang; Zushu Li; Ryojun Ikeura; Hyungki Kim; Fangzheng Xue, Editor(s)

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