Ultrasound Infrared Thermography Defect Recognition Based on Improved Adaptive Genetic Algorithm with Two-Dimensional Maximum Entropy

Changming TANG; Jianfeng ZHONG; Shuncong ZHONG; Man CHEN; Xibin FU; Xuebin HUANG

Journals >Infrared Technology >Volume 42 >Issue 8 >Page 801 > Article

Infrared Technology
Vol. 42, Issue 8, 801 (2020)

Ultrasound Infrared Thermography Defect Recognition Based on Improved Adaptive Genetic Algorithm with Two-Dimensional Maximum Entropy

Changming TANG^1、*, Jianfeng ZHONG¹, Shuncong ZHONG^1、2, Man CHEN¹, Xibin FU³, and Xuebin HUANG³

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¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: Cite this Article

TANG Changming, ZHONG Jianfeng, ZHONG Shuncong, CHEN Man, FU Xibin, HUANG Xuebin. Ultrasound Infrared Thermography Defect Recognition Based on Improved Adaptive Genetic Algorithm with Two-Dimensional Maximum Entropy[J]. Infrared Technology, 2020, 42(8): 801 Copy Citation Text

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References

[9] Holland John H. Genetic algorithms and the optimal allocation of trials[J]. SIAM Journal on Computing, 1973, 2(2): 88-105.

[12] Antoniol G, Ceccarelli M. Microarray image gridding with stochastic search based approaches[J]. Image and Vision Computing, 2007, 25(2): 155-163.

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