Shape-Based Image Matching Using Heat Kernels and Diffusion Maps

Vizilter, Yu. V.; Gorbatsevich, V. S.; Rubis, A. Yu.; Zheltov, S. Yu.

2D image matching problem is often stated as an image-to-shape or shape-to-shape matching problem. Such shape-based matching techniques should provide the matching of scene image fragments registered in various lighting, weather and season conditions or in different spectral bands. Most popular shape-to-shape matching technique is based on mutual information approach. Another wellknown approach is a morphological image-to-shape matching proposed by Pytiev. In this paper we propose the new image-to-shape matching technique based on heat kernels and diffusion maps. The corresponding Diffusion Morphology is proposed as a new generalization of Pytiev morphological scheme. The fast implementation of morphological diffusion filtering is described. Experimental comparison of new and aforementioned shape-based matching techniques is reported applying to the TV and IR image matching problem.

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Vizilter, Yu. V. / Gorbatsevich, V. S. / Rubis, A. Yu. / et al: Shape-Based Image Matching Using Heat Kernels and Diffusion Maps. 2014. Copernicus Publications.

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