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A Novel Adaptive Leak Diagnosis and Localization Method For Infrared Image

Zhao, Ling, Wang, Tao, Shi, Peng and Wang, Meiling (2012) A Novel Adaptive Leak Diagnosis and Localization Method For Infrared Image. International Journal of Innovative Computing, Information and Control, 8 (5(B)). pp. 3553-3563. ISSN 1349-4198

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Abstract

In this paper, a new adaptive diagnosis and localization method is given for small target leak points in an infrared image. The infrared image of a test vessel with cold compressed air is photographed by a thermal camera. Based on a mathematical model of the infrared image, the diagnosis and localization method is given as an adaptive algo- rithm which is synthesized by a developed adaptive center-weighted median filter and an improved adaptive kernel regression method. Experimental results are given to illustrate the proposed algorithm is effective and adaptable to small target detection under the com- plex infrared image background.

Item Type: Article
Uncontrolled Keywords: ResPubID25078, ResPubID25740, leak diagnosis and localization method, kernel regression, infrared image, spatially adaptive, peak signal to noise ratio, PSNR, RGB infrared image, red-green-blue image, pneumatic control system
Subjects: FOR Classification > 0802 Computation Theory and Mathematics
FOR Classification > 0906 Electrical and Electronic Engineering
SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Faculty/School/Research Centre/Department > School of Engineering and Science
Depositing User: VUIR
Date Deposited: 20 Mar 2013 02:26
Last Modified: 20 Aug 2014 01:51
URI: http://vuir.vu.edu.au/id/eprint/10464
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Citations in Scopus: 3 - View on Scopus

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