Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/77915
Type: | Journal article |
Title: | A novel adaptive leak diagnosis and localization method for infrared image |
Author: | Zhao, L. Wang, T. Shi, P. Wang, M. |
Citation: | International Journal of Innovative Computing Information and Control, 2012; 8(5):3553-3563 |
Publisher: | ICIC International |
Issue Date: | 2012 |
ISSN: | 1349-4198 1349-418X |
Statement of Responsibility: | Ling Zhao, Tao Wang, Peng Shi and Meiling Wang |
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 algorithm 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 complex infrared image background. |
Keywords: | Leak diagnosis and localization Kernel regression Infrared image Spatially adaptive |
Rights: | ICIC International © 2012 |
Published version: | http://www.ijicic.org/ijicic-11-02093.pdf |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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