Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 357-364, 2014
https://doi.org/10.5194/isprsarchives-XL-3-357-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
11 Aug 2014
Shape-Based Image Matching Using Heat Kernels and Diffusion Maps
Yu. V. Vizilter, V. S. Gorbatsevich, A. Yu. Rubis, and S. Yu. Zheltov State Research Institute of Aviation Systems (GosNIIAS), 125319, 7, Viktorenko str., Moscow, Russia
Keywords: Image Matching, Diffusion Maps, Mathematical Morphology Abstract. 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.
Conference paper (PDF, 1050 KB)


Citation: Vizilter, Yu. V., Gorbatsevich, V. S., Rubis, A. Yu., and Zheltov, S. Yu.: Shape-Based Image Matching Using Heat Kernels and Diffusion Maps, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 357-364, https://doi.org/10.5194/isprsarchives-XL-3-357-2014, 2014.

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