文章基本信息

标题：Shape-Based Image Matching Using Heat Kernels and Diffusion Maps
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作者：Yu. V. Vizilter ; V. S. Gorbatsevich ; A. Yu. Rubis 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2014
卷号：XL-3
页码：357-364
DOI：10.5194/isprsarchives-XL-3-357-2014
出版社：Copernicus Publications
摘要：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
关键词：Image Matching; Diffusion Maps; Mathematical Morphology