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Proceedings Paper

A matching algorithm for IR/visual images based on the invariant moment of histogram
Author(s): Ying-hong Zhu; Jun-shan Li; Yi-juan Zhu
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Paper Abstract

The concept of invariant moment of gradient orientation histogram and a novel line matching algorithm based on the invariant moment of histogram are proposed to resolve the problem of matching typical objects in the IR and visible images. First, line segments are extracted. Second, the average gradient vector direction of each pixel on the line is adopt as the main direction of the line. Third, the line is divided into non-overlapped sub-regions with the same size. The gradient vector direction of each sub-region are constructed, and the weighted invariant moment of histogram in each sub-region are calculated to build the line descriptor. Finally, the feature matching is realized via the NNDR(nearest/next ratio) method. Experimental results show that the proposed algorithm can match the typical objects in the IR and visible images efficiently and correctly.

Paper Details

Date Published: 2 December 2011
PDF: 5 pages
Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 80040Q (2 December 2011); doi: 10.1117/12.901850
Show Author Affiliations
Ying-hong Zhu, Xi'an Research Institute of High Technology (China)
The Chinese People's Armed Police Force (China)
Jun-shan Li, Xi'an Research Institute of High Technology (China)
Yi-juan Zhu, The Chinese People's Armed Police Force (China)


Published in SPIE Proceedings Vol. 8004:
MIPPR 2011: Pattern Recognition and Computer Vision
Jonathan Roberts; Jie Ma, Editor(s)

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