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Proceedings Paper

Combining gray level and gradient magnitude for scene matching
Author(s): Jiawei Wu; Chunfeng Wu; Nong Sang
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Paper Abstract

A correlation algorithm for scene matching by using two intensity features, i.e., gray level and gradient magnitude, is proposed. The correlation surface produced by the algorithm is the simple summation of the two ones obtained by using gray level and gradient magnitude respectively with zero mean normalized cross correlation similarity measure. We show that theoretically the proposed method will give better matching performance compared to the correlation algorithm by either gray level or gradient magnitude only under some conditions. Experimental results with real images demonstrate that the new algorithm can even report better results than classical algorithms and some newly presented ones.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952P (30 October 2009); doi: 10.1117/12.830712
Show Author Affiliations
Jiawei Wu, Beijing Univ. of Aeronautics and Astronautics (China)
Hubei Space Technology Academy (China)
Chunfeng Wu, Hubei Space Technology Academy (China)
Nong Sang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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