30 October 2009 Combining gray level and gradient magnitude for scene matching
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74952P (2009) https://doi.org/10.1117/12.830712
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
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Jiawei Wu, Jiawei Wu, Chunfeng Wu, Chunfeng Wu, Nong Sang, Nong Sang, } "Combining gray level and gradient magnitude for scene matching", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952P (30 October 2009); doi: 10.1117/12.830712; https://doi.org/10.1117/12.830712
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