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王健, 卫善春, 林涛, 陈善本. 图像形态学在初始焊接位置检测中的应用[J]. 焊接学报, 2012, (4): 21-24.
引用本文: 王健, 卫善春, 林涛, 陈善本. 图像形态学在初始焊接位置检测中的应用[J]. 焊接学报, 2012, (4): 21-24.
WANG Jian, WEI Shanchun, LIN Tao, CHEN Shanben. Application of image morphology in detection of initial welding position[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (4): 21-24.
Citation: WANG Jian, WEI Shanchun, LIN Tao, CHEN Shanben. Application of image morphology in detection of initial welding position[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (4): 21-24.

图像形态学在初始焊接位置检测中的应用

Application of image morphology in detection of initial welding position

  • 摘要: 将图像形态学引入直焊缝的初始焊接位置检测过程中,首先采用结构小巧的CCD摄像机采集直焊缝图像,借助腐蚀边缘检测算子的图像形态学算法进行边缘检测,在保留图像关键信息的同时有效的滤除了其它干扰,然后选择多方向线性结构元素利用形态学处理算法进行方向滤波,最后配合Hough变换得到初始焊位点坐标.该算法直观简便快速,自适应性强,处理精度较高,且对于焊缝边缘的大多数干扰鲁棒性强,满足实际工作需要,为完成整个初始焊位导引过程奠定基础.

     

    Abstract: The image morphology was introduced to detect the initial welding position of straight welding seam.The straight seam image was acquired by using a small CCD camera.The erosion edge detection algorithm was used to process the image,which could maintain the key information and eliminate other interference.Finally the initial welding position was obtained by filter with directional liner structure elements and Hough transformation.The whole processing is very intuitionistic,simple and fast.In addition,it's higher self-adaptability,higher process accuracy and stronger robustness.This research can meet the need of practical work,and lay a good foundation for the guidance of initial welding position.

     

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