Wu Xin1, Li Qiang1, Jiao Jinghai2, Qi Bojin3. An image processing method of welding robot based on prior knowledge[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(1): 123-128. DOI: 10.12073/j.hjxb.2018390028
Citation:
Wu Xin1, Li Qiang1, Jiao Jinghai2, Qi Bojin3. An image processing method of welding robot based on prior knowledge[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(1): 123-128. DOI: 10.12073/j.hjxb.2018390028
Wu Xin1, Li Qiang1, Jiao Jinghai2, Qi Bojin3. An image processing method of welding robot based on prior knowledge[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(1): 123-128. DOI: 10.12073/j.hjxb.2018390028
Citation:
Wu Xin1, Li Qiang1, Jiao Jinghai2, Qi Bojin3. An image processing method of welding robot based on prior knowledge[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(1): 123-128. DOI: 10.12073/j.hjxb.2018390028
An image processing method of welding robot based on prior knowledge
In the vision detection methods for shooting the image directly with CCD of arc welding robot, This paper proposes a practical recognition algorithm for complex weld images with black note marks, scratches, and cross interferences with welds, and puts the emphasis on several key issues of this algorithm, such as the skeleton thinning, splitting, merging and pruning of edge chains, and the judgments of location relations based on prior knowledge, etc. The experimental results demonstrate that the algorithm can effectively remove the black notes, scratches and cross interferences and can automatically extract the weld track in complex weld images. The algorithm has strong adaptability and expandability, and can be applied to other complex images with a slight improvement,such as images with arc light or structured light, etc. The algorithm can provide some technical reference for further improving the intelligent vision detection of arc welding robot.
Yin Ziqiang, Zhang Guangjun, Gao Hongming,et al. 3D reconstruction of worn parts for flexible remanufacture based on robotic arc welding[J]. China Welding, 2010, 19 (4): 54-58.[2] 高向东, 陈廷艳, 张艳喜, 等. 紧密对接焊缝多尺度形态学磁光成像检测方法[J]. 焊接学报, 2017, 38(4): 43-46.Gao Xiangdong, Chen Tingyan, Zhang Yanxi,et al. Detection of tight-butt joint weld based on multi-scale morphology of magneto-optical image[J]. Transactions of the China Welding Institution, 2017, 38(4): 43-46.[3] 高向东, 刘 益, 张 弛. 微间隙焊缝磁光成像分形维数识别方法[J]. 焊接学报, 2014, 35(12): 11-14.Gao Xiangdong, Liu Yi, Zhang Chi. Recognition of magneto-optial image of micro-gap weld using fractal dimension method[J]. Transactions of the China Welding Institution, 2014, 35(12): 11-14.[4] 高向东, 黄冠雄, 萧振林, 等. 微间隙焊缝磁光成像小波多尺度融合检测[J]. 焊接学报, 2016, 37(4): 1-4.Gao Xiangdong, Huang Guanxiong, Xiao Zhenlin,et al. Micro weld detection based on magneto-optical Imaging a wavelet multi-scale fusion[J]. Transactions of the China Welding Institution, 2016, 37(4): 1-4.[5] 盛业华. 一种保形的快速图象形态细化算法[J]. 中国图像图形学报, 2000, 5(2): 89-92.Shen Yehua. One fast shape preserving morphological thining algorithm[J]. Journal of Image and Graphics, 2000, 5(2): 89-92.