Abstract
We apply the complex wavelet structural similarity index to image matching system and propose an image matching method which has strong robustness to image transform in spatial domain. Experimental results show that the structural similarity index in complex wavelet domain reflects to a large extent structural similarity of the images compared, which is more similar to human visual cognitive system; in the meanwhile, because of approximate shift invariance of complex wavelet, this index shows good robustness to such disturbance as contrast ratio change and illumination change to template image, so it is more suitable to be used as similarity index for image matching under complex imaging conditions. Moreover, matching simulation experiment shows that this method has higher correct matching rate in complicated disturbance environment.
Sponsored by the National Natural Science Foundation (60873192).
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An, J., Zhang, X. (2011). Robust Image Matching Method Based on Complex Wavelet Structural Similarity. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23324-1_15
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DOI: https://doi.org/10.1007/978-3-642-23324-1_15
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