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Proceedings Paper

Adaptive algorithm of infrared target enhancement for target recognition of infrared detector
Author(s): Jia Guo; Wei-guo Liu; Jiao-bo Gao; Wen-gang Qin
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Paper Abstract

The algorithm of infrared image enhancement directly impacts on the veracity of target recognition. However, traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively. Consequently, an adaptive algorithm for infrared target enhancement has been presented. The experimental result shows that this algorithm could automatically choose the threshold of histogram segmentation according to the gray characteristic of the target. It can also increase the contrast and decrease the noise while suppressing the background. In addition, this algorithm could be used for target enhancement of other infrared images, and had small computation, especially suitable for real-time processing of infrared images.

Paper Details

Date Published: 20 May 2009
PDF: 5 pages
Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 72831I (20 May 2009); doi: 10.1117/12.828668
Show Author Affiliations
Jia Guo, Xi'an Technological Univ. (China)
Wei-guo Liu, Xi'an Technological Univ. (China)
Jiao-bo Gao, Xi'an Institute of Applied Optics (China)
Wen-gang Qin, Xi'an Technological Univ. (China)


Published in SPIE Proceedings Vol. 7283:
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; James C. Wyant; Robert A. Smythe; Hexin Wang, Editor(s)

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