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Proceedings Paper

Infrared image non-rigid registration based on regional information entropy demons algorithm
Author(s): Chaoliang Lu; Lihua Ma; Ming Yu; Shumin Cui; Qingrong Wu
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Paper Abstract

Infrared imaging fault detection which is treated as an ideal, non-contact, non-destructive testing method is applied to the circuit board fault detection. Since Infrared images obtained by handheld infrared camera with wide-angle lens have both rigid and non-rigid deformations. To solve this problem, a new demons algorithm based on regional information entropy was proposed. The new method overcame the shortcomings of traditional demons algorithm that was sensitive to the intensity. First, the information entropy image was gotten by computing regional information entropy of the image. Then, the deformation between the two images was calculated that was the same as demons algorithm. Experimental results demonstrated that the proposed algorithm has better robustness in intensity inconsistent images registration compared with the traditional demons algorithm. Achieving accurate registration between intensity inconsistent infrared images provided strong support for the temperature contrast.

Paper Details

Date Published: 19 February 2015
PDF: 8 pages
Proc. SPIE 9449, The International Conference on Photonics and Optical Engineering (icPOE 2014), 944908 (19 February 2015); doi: 10.1117/12.2075406
Show Author Affiliations
Chaoliang Lu, Air Force Engineering Univ. (China)
Lihua Ma, Air Force Engineering Univ. (China)
Ming Yu, Air Force Engineering Univ. (China)
Shumin Cui, Air Force Engineering Univ. (China)
Qingrong Wu, People's Liberation Army (China)

Published in SPIE Proceedings Vol. 9449:
The International Conference on Photonics and Optical Engineering (icPOE 2014)
Ailing Tian; Anand Asundi; Weiguo Liu; Chunmin Zhang, Editor(s)

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