Advanced Search
中文
Issue 12
Turn off MathJax
Article Contents
References
Related Articles
KONG Songtao, HUANG Zhen, YANG Jinru. Research Status and Development of Image Processing for Infrared Thermal Image Nondestructive Testing[J]. Infrared Technology , 2019, 41(12): 1133-1140.
Citation: KONG Songtao, HUANG Zhen, YANG Jinru. Research Status and Development of Image Processing for Infrared Thermal Image Nondestructive Testing[J]. Infrared Technology , 2019, 41(12): 1133-1140.
shu

Research Status and Development of Image Processing for Infrared Thermal Image Nondestructive Testing

More Information
    Graphical Abstract
    • Abstract
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]DING Zitian, XI Wenfei, QIAN Tanghui, GUO Junqi, JIN Tingting, HONG Wenyu, GUI Fuyu. Multiple Feature Fusion for Unmanned Aerial Vehicle Image Recognition in Foggy Weather[J]. Infrared Technology , 2025, 47(7): 833-841.
    [2]DAI Zikuo, SHI Kejian, SONG Shida, LIU Yang, XU Yan. Reliability Image Recognition Method for High Temperature Operation of Power Stabilizer in Medium and Low Voltage Grids Based on Infrared Imaging[J]. Infrared Technology , 2023, 45(12): 1351-1357.
    [3]LIN Li, LIU Xin, ZHU Junzhen, FENG Fuzhou. Classification of Ultrasonic Infrared Thermal Images Using a Convolutional Neural Network[J]. Infrared Technology , 2021, 43(5): 496-501.
    [4]NIU Yi, GAN Lingtong, MA Yun. Identification of Adhesive Defects of Non-metallic Materials Based on Infrared Non-destructive Testing[J]. Infrared Technology , 2020, 42(4): 393-398.
    [5]LI Zun, WU Jin, LIU Jin. The Application of Mathematical Morphology in the Criminisi Algorithm of Image Inpainting[J]. Infrared Technology , 2015, 37(7): 574-578.
    [6]LIU Zhong-yi, ZHANG Chun, HU Zhi-yu. Temperature Measurement and 3D Reconstruction Based on Multifocus Thermal Images[J]. Infrared Technology , 2015, (6): 449-456.
    [7]XU Xiang-jun, WANG Sheng-peng, JI Qing-chun, LIU Dong-fang, QIAN Wei-dong, YU Jie, YAN Ya-jing. Insulator Infrared Image Recognition Method Based on Gaussian Scale-space and GHT[J]. Infrared Technology , 2014, (7): 596-599.
    [8]LI Tang-bing, GONG Lei, YAO Jian-gang. On-site Identification of Zero Resistance Insulator Based on Infrared Thermal Image and One-step Weights-determination of Neural Network[J]. Infrared Technology , 2013, (11): 707-711.
    [9]WEN Wu, HUANG Di-long, GUO Xi-rong. Information-Preserving and Denoising in the Image Pretreatment Applications[J]. Infrared Technology , 2006, 28(7): 415-418. DOI: 10.3969/j.issn.1001-8891.2006.07.011
    [10]The Study of Feature Extraction Used to Recognize Incomplete Image for Imaging Fuze[J]. Infrared Technology , 2001, 23(5): 20-23,28. DOI: 10.3969/j.issn.1001-8891.2001.05.007

  • Cited by

    Periodical cited type(14)

    1. 邓长征，刘明泽，付添，弓萌庆，骆冰洁. 基于改进YOLOv7-Tiny的变电设备红外图像识别. 红外技术. 2025(01): 44-51 . 本站查看
    2. 钟志明. 基于改进YOLOv7的变电站套管红外图像智能诊断模型构建及应用. 国外电子测量技术. 2025(01): 140-147 .
    3. 范继锋，张彦斌，李智，张伟，陈杰. 变电站多旋翼无人机巡检红外图像目标检测. 激光与红外. 2025(04): 599-606 .
    4. 何明，佘乐欣，严铿博，李思尧，黄煜伟，刘晓松. 基于改进深度学习的开关柜局部放电检测与故障识别. 微型电脑应用. 2024(01): 123-126 .
    5. 吴跃，宝贵，韩文军，占龙，郭沣慧. 基于空间光学传感技术的变电站设备高热故障红外识别方法. 环境技术. 2024(03): 137-142+151 .
    6. 柳皓，马强，付强，陈远，赵通汉. 基于改进YOLOv4的智能变电站二次设备稳态AR红外测温技术. 计算技术与自动化. 2024(02): 35-40 .
    7. 张佳钰，蔡泽烽，冯杰. 基于改进的CenterNet变电站设备红外温度检测方法. 计算机测量与控制. 2024(07): 50-56 .
    8. 张绘敏，赵扬，康会峰. 基于卷积神经网络算法的光伏组件热斑图像检测方法研究. 计算机测量与控制. 2024(07): 57-63 .
    9. 李长红，田芳芳. 基于红外热成像的变电站设备异常检测方法. 电气技术与经济. 2024(10): 343-346 .
    10. 黄志鸿，颜星雨，陶岩，张辉，徐先勇. 基于多模态图像信息的配电网部件定位方法. 湖南电力. 2024(06): 83-89 .
    11. 孙猛，邓志成，程相杰，陈荣泽，方超. 基于程序模块化建模的智慧电站一体化平台构建. 电力大数据. 2023(01): 76-82 .
    12. 骆会详. 基于小波域CHMT模型的110 kV变电站设备超温红外预警方法. 计算技术与自动化. 2023(02): 64-70 .
    13. 许冰，李斌，陈世海，文建军. 基于深度学习的GIS局部放电故障诊断技术研究. 微型电脑应用. 2023(08): 118-121 .
    14. 熊黎黎，贾璐. 轻质混凝土承压监测方法设计与仿真. 计算机仿真. 2022(06): 284-288 .

    Other cited types(5)

Catalog

    Get Citation
    PDF
    XML
    Article views (267) PDF downloads (49) Cited by(19)
    Related

    Copyright © 《Infrared Technology》Editorial Office滇ICP备12000354号-3

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return