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Journal of Applied Remote Sensing

Algorithm for automatic image registration on Harris-Laplace features
Author(s): Weixing Wang; Daijian Luo; Weisheng Li
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Paper Abstract

In order to overcome the difficulty of automatic registration between the images of different rotations and resolutions, this paper presents a new image registration algorithm. In the algorithm, Harris-Laplace detector is applied to extract image features; a method named scale-space projection based on scale-invariance of Harris-Laplace is proposed; and a feature space on the projection information is constructed in the direction of the main feature orientation, which makes feature space rotation-invariant and resolution-invariant. In addition, the two steps are taken to accomplish feature matching: Euclidean distance is used to match two features coarsely, and then Random Sample Consensus (RANSAC) is applied to identify the correct matches, which implements feature matching accurately and efficiently. Experiments show that the algorithm in this study can accomplish image registration automatically and accurately between images even with large differences in resolutions and rotations.

Paper Details

Date Published: 1 October 2009
PDF: 13 pages
J. Appl. Remote Sens. 3(1) 033554 doi: 10.1117/1.3256135
Published in: Journal of Applied Remote Sensing Volume 3, Issue 1
Show Author Affiliations
Weixing Wang, Univ. of Electronic Science and Technology of China (China)
Daijian Luo, Chongqing Univ. of Posts and Telecommunications (China)
Weisheng Li, Chongqing Univ. of Posts and Telecommunications (China)


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