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    ZHANG Yong, ZHANG Jin-Yu, HUANG Xiao-Rong, HUANG Jian-Xiang. The Infrared Thermal Imaging Data Fitting Method Based on Genetic Algorithm[J]. Nondestructive Testing, 2012, 34(10): 38-41.
    Citation: ZHANG Yong, ZHANG Jin-Yu, HUANG Xiao-Rong, HUANG Jian-Xiang. The Infrared Thermal Imaging Data Fitting Method Based on Genetic Algorithm[J]. Nondestructive Testing, 2012, 34(10): 38-41.

    The Infrared Thermal Imaging Data Fitting Method Based on Genetic Algorithm

    • The infrared thermal imaging data fitting method was presented based on the genetic algorithm, and the effect of this method was demonstrated by experiment. The results showed that the method could suppress noise and heating non-uniformity remarkably, and the contrast of defects could be enhanced. The effect of this method was superior to that of the general polynomial fitting method, and it had potential applications in infrared image data processing.
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