基于改进自适应遗传算法和二维最大熵的超声红外热像缺陷识别
唐长明, 钟剑锋, 钟舜聪, 陈曼, 伏喜斌, 黄学斌. 基于改进自适应遗传算法和二维最大熵的超声红外热像缺陷识别[J]. 红外技术, 2020, 42(8): 801.
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.
[2] 冯辅周 , 张超省 , 江鹏程 , 等. 超声红外热像技术中缺陷的自动识别 [J].激光与红外 , 2012, 42(10): 1149-1153. FENG Fuzhou, ZHANG Chaosheng, JIANG Pengcheng, et al. Automatic identification of crack in ultrasonic infrared imaging technology[J]. Laser & Infrared, 2012, 42(10): 1149-1153.
[4] 刘慧. 超声红外锁相热像无损检测技术的研究 [D].哈尔滨: 哈尔滨工业大学, 2010. LIU Hui. Research on Ultrasound Infrared Lock-in Thermography for Non-destructive Testing[D]. Harbin: Harbin Institute of Technology, 2010.
[5] 秦雷, 刘俊岩 , 龚金龙, 等. 超声红外锁相热像技术检测金属板材表面裂纹[J].红外与激光工程 , 2013(5): 1123-1130. QIN Lei, LIU Junyan, GONG Jinlong, et al. Testing surface crack defects of sheet metal with ultrasonic lock-in thermography[J]. Infrared and Laser Engineering, 2013(5): 1123-1130.
[6] 郑凯, 张淑仪 , 蔡士杰. 超声激发下缺陷红外信号的识别 [J].无损检测, 2008, 30(10):96-98. ZHENG Kai, ZHANG ShuYi, CAI Shijie. Defect recognition in ultrasonic infrared thermography[J]. Nondestructive Testing, 2008, 30(10): 96-98.
[7] 李俊山, 杨威, 张雄美. 红外图像处理、分析与融合[M].北京: 科学出版社, 2009.LI Junshan, YANG Wei, ZHANG Xiongmei. Infrared Image Processing, Analysis and Fusion[M]. Beijing: Science Press, 2009.
[8] 杜晓晨, 刘建平 . 基于二维 OTSU和遗传算法的红外图像分割方法[J].红外技术, 2005, 27(1): 66-69. DU Xiaochen, LIU Jianping. Infrared image segmentation method based on 2D maximum between-cluster variance and genetic algorithm[J]. Infrared Technology, 2005, 27(1): 66-69.
[9] Holland John H. Genetic algorithms and the optimal allocation of trials[J]. SIAM Journal on Computing, 1973, 2(2): 88-105.
[10] 李茂民. 一种基于改进遗传算法的图像分割研究及应用 [D].赣州: 江西理工大学, 2009. LI Maoming. Research and Application of an Improved Genetic Algorithm for Image Segmentation[D]. Ganzhou: Jiangxi University of Science and Technology, 2009.
[11] 李宏言 , 盛利元 , 陈良款 , 等. 基于二维最大熵原理和改进遗传算法的图像阈值分割[J].计算机与现代化 , 2007(2): 34-38. LI Hongyan, SHENG Liyuan, CHEN Liangkuan, et al. Image thresholding segmentation based on 2D maximum entropy principle and improved genetic algorithm[J]. Computer and Modernization, 2007(2): 34-38.
[12] Antoniol G, Ceccarelli M. Microarray image gridding with stochastic search based approaches[J]. Image and Vision Computing, 2007, 25(2): 155-163.
[13] 玄光男. 遗传算法与工程设计 [M].北京: 科学出版社 , 2000. XUAN Guangnan. Genetic Algorithm and Engineering Design[M]. Beijing: Science Press, 2000.
唐长明, 钟剑锋, 钟舜聪, 陈曼, 伏喜斌, 黄学斌. 基于改进自适应遗传算法和二维最大熵的超声红外热像缺陷识别[J]. 红外技术, 2020, 42(8): 801. 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.
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