红外与可见光图像配准算法

Abstract

Abstract:

In this paper,a registration algorithm that combines second-order mutual information with alignment as a similarity function is proposed.Firstly,the consistency lines are extracted from visible/IR images by using Hough transform.Secondly the alignment metric of consistency lines is calculated.Finally,these different images are registered by adjusting the proportion of alignment metric in the new similarity function.Experiment results demonstrate that the proposed similarity function shows higher accuracy and robustness than the conventional similarity functions.

Key words: IR;visible;image registration;second-order mutual information;alignment metric;Hough transform

CLC Number:

TN219

KUANG Ya-Bin, WANG Jing-Dong, LI Peng. Infrared and Visible Image Registration by Combination of Second-order Mutual Information and Alignment[J]., 2011, 24(5): 80-.

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Infrared and Visible Image Registration by Combination of Second-order Mutual Information and Alignment

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