Oriented Edge-Based Feature Descriptor for Multi-Sensor Image Alignment and Enhancement

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...

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Bibliographic Details
Published in:International journal of advanced robotic systems 2013-10, Vol.10 (10)
Main Authors: Ju, Myung-Ho, Kwak, Dong-Min, Kang, Hang-Bong
Format: Article
Language:English
Subjects:
Alignment
Image contrast
Image enhancement
Methods
Optimization
Sensors
Stitching
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Description
Summary: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.
ISSN:1729-8806
1729-8814
DOI:10.5772/56788