文章基本信息

标题：Oriented Edge-Based Feature Descriptor for Multi-Sensor Image Alignment and Enhancement
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作者：Myung-Ho Ju ; Dong-Min Kwak ; Hang-Bong Kang 等
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2013
卷号：10
DOI：10.5772/56788
语种：English
出版社：SAGE Publications
摘要：In this paper, we present an efficient image alignment and enhancement method for multi-sensor images. The shape of the object captured in a multi-sensor images can be determined by comparing variability of contrast using corresponding edges across multi-sensor image. Using this cue, we construct a robust feature descriptor based on the magnitudes of the oriented edges. Our proposed method enables fast image alignment by identifying matching features in multi-sensor images. We enhance the aligned multi-sensor images through the fusion of the salient regions from each image. The results of stitching the multi-sensor images and their enhancement demonstrate that our proposed method can align and enhance multi-sensor images more efficiently than previous methods.
关键词：Feature Descriptor; Multi-sensor Images; Image Alignment; Image Enhancement