Image and Signal Processing Methods

Robust image registration using adaptive coherent point drift method

[+] Author Affiliations
Lijuan Yang, Wei Zhao, Jinhuan Wen, Weidong Yan

Northwestern Polytechnical University, Departments of Applied Mathematics, Dongda, Chang’an, Xi’an 710129, China

Zheng Tian

Northwestern Polytechnical University, Departments of Applied Mathematics, Dongda, Chang’an, Xi’an 710129, China

Northwest Polytechnical University, Department of Computer Science and Technology, Xi’an 710129, China

State Key Laboratory of Remote Sensing Science, Beijing 100101, China

J. Appl. Remote Sens. 10(2), 025014 (May 20, 2016). doi:10.1117/1.JRS.10.025014
History: Received September 28, 2015; Accepted April 18, 2016
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Abstract.  Coherent point drift (CPD) method is a powerful registration tool under the framework of the Gaussian mixture model (GMM). However, the global spatial structure of point sets is considered only without other forms of additional attribute information. The equivalent simplification of mixing parameters and the manual setting of the weight parameter in GMM make the CPD method less robust to outlier and have less flexibility. An adaptive CPD method is proposed to automatically determine the mixing parameters by embedding the local attribute information of features into the construction of GMM. In addition, the weight parameter is treated as an unknown parameter and automatically determined in the expectation-maximization algorithm. In image registration applications, the block-divided salient image disk extraction method is designed to detect sparse salient image features and local self-similarity is used as attribute information to describe the local neighborhood structure of each feature. The experimental results on optical images and remote sensing images show that the proposed method can significantly improve the matching performance.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Lijuan Yang ; Zheng Tian ; Wei Zhao ; Jinhuan Wen and Weidong Yan
"Robust image registration using adaptive coherent point drift method", J. Appl. Remote Sens. 10(2), 025014 (May 20, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.025014


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