Recognition algorithm of small-diameter tube X-ray welding defect image

[1] Zhaoyi Zhou, Zhang Yanan, Wang Xiaofeng, Et al., Weld surface defect detection based on improved two dimensional principal c-omponent analysis[J], Transactions of the China Welding Institution, 42, 11, pp. 70-76, (2021)

[2] Yang L, Wang H X, Huo B Y, Et al., An automatic welding defect location algorithm based on deep learning, NDT & E International:Independent Nondestructive Testing and Evaluation, 120, (2021)

[3] Sun J, Li C, Wu X J, Et al., An Effective method of weld defect detection and classification based on machine vision[J], Ieee Transactions on Industrial Informatics, 15, 12, pp. 6322-6333, (2019)

[4] Zhang Y, You D, Gao X, Et al., Welding defects detectionbased on deep learning with multiple optical sensors during disklaser welding of thick plates[J], Journal of Manufacturing Systems, 51, pp. 87-94, (2019)

[5] Bowen Wei, Gao Weixin, Liu Mengxi, Casting defect detection method combined with laser ultrasound and convolutional neural network[J], Laser & Infrared, 52, 9, pp. 1327-1334, (2022)

[6] Zhang L, Zhang Y J, Dai B C, Et al., Welding defect detectionbased on local image enhancement[J], IET Image Processing, 13, 13, pp. 2647-2658, (2019)

[7] Jiang Ye, Wang Dong, Qin Xiaoyang, Et al., Ultrasonic phased array inspection on welded crack of austenitic dissimilar ateel with thinwall and small diameter tube[J], Transactions of the China Welding Institution, 39, 8, pp. 119-122, (2018)

[8] Xiaoming Chen, Yunhua Tan, Lai Chuanli, Et al., The reserch of phased array testing on the butt weld of tube[J], Boiler Technology, 52, pp. 55-58, (2021)

[9] Xie L, Wang T, Zhang Y., Comparative experimental study on phased array and X-ray detection of small diameter pipe weld, Journal of Physics, 1885, 3, (2021)

[10] Xiao Jia, Zhao Long, Comparative analysis of ultrasonic phasedarray and X-ray detection for petrochemical pipeline defect dete-ction[J], China Petroleum and Chemical Standard and Quality, 42, 15, pp. 174-175, (2022)

[1] Zhaoyi Zhou, Zhang Yanan, Wang Xiaofeng, Et al., Weld surface defect detection based on improved two dimensional principal c-omponent analysis[J], Transactions of the China Welding Institution, 42, 11, pp. 70-76, (2021)

[2] Yang L, Wang H X, Huo B Y, Et al., An automatic welding defect location algorithm based on deep learning, NDT & E International:Independent Nondestructive Testing and Evaluation, 120, (2021)

[3] Sun J, Li C, Wu X J, Et al., An Effective method of weld defect detection and classification based on machine vision[J], Ieee Transactions on Industrial Informatics, 15, 12, pp. 6322-6333, (2019)

[4] Zhang Y, You D, Gao X, Et al., Welding defects detectionbased on deep learning with multiple optical sensors during disklaser welding of thick plates[J], Journal of Manufacturing Systems, 51, pp. 87-94, (2019)

[5] Bowen Wei, Gao Weixin, Liu Mengxi, Casting defect detection method combined with laser ultrasound and convolutional neural network[J], Laser & Infrared, 52, 9, pp. 1327-1334, (2022)

[6] Zhang L, Zhang Y J, Dai B C, Et al., Welding defect detectionbased on local image enhancement[J], IET Image Processing, 13, 13, pp. 2647-2658, (2019)

[7] Jiang Ye, Wang Dong, Qin Xiaoyang, Et al., Ultrasonic phased array inspection on welded crack of austenitic dissimilar ateel with thinwall and small diameter tube[J], Transactions of the China Welding Institution, 39, 8, pp. 119-122, (2018)

[8] Xiaoming Chen, Yunhua Tan, Lai Chuanli, Et al., The reserch of phased array testing on the butt weld of tube[J], Boiler Technology, 52, pp. 55-58, (2021)

[9] Xie L, Wang T, Zhang Y., Comparative experimental study on phased array and X-ray detection of small diameter pipe weld, Journal of Physics, 1885, 3, (2021)

[10] Xiao Jia, Zhao Long, Comparative analysis of ultrasonic phasedarray and X-ray detection for petrochemical pipeline defect dete-ction[J], China Petroleum and Chemical Standard and Quality, 42, 15, pp. 174-175, (2022)