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机构地区:[1]陕西科技大学机电工程学院,陕西西安710021
出 处:《陕西科技大学学报》2017年第5期156-161,167,共7页Journal of Shaanxi University of Science & Technology
基 金:陕西省科技厅科技计划项目(2016GY-049)
摘 要:考虑到实际的工业环境,需要对工件上的简单几何形状区域进行高精度定位,因此提出一种基于物体几何特征的定位算法,并以圆形定位为例对算法进行验证。首先在边缘提取的过程中根据待定位物体边缘法向提出了新的边缘检测算法,并关联模板匹配初定位结果动态的进行圆弧边缘检测,然后采用改进的随机抽样一致性算法进行圆拟合,使用该算法对PCB板上MARK进行了定位实验验证.最后针对传统齿轮测量的不足,采用所提出的定位算法对齿轮的齿顶圆和齿根圆进行拟合,得到一系列齿轮参数.实验表明,该算法能够准确测量圆的轮廓,对齿轮的测量也达到一定的测量精度,验证了算法的准确性与通用性.According to the actual industrial environment, high precision positioning of the workpiece with a simple geometry is required. A localization algorithm based on geometric features of objects was proposed ,and verified by the example of circular positioning. First,in the process of edge extraction according to the location of object edge direction put forward a new algorithm of edge detection,and connect with the initial results of template matching to finish the arc edge detection dynamic. Second, the improved random sampling consensus algorithm was used to fit the circle,and to locate the MARK on the PCB board. Finally, using the proposed algorithm to fit the top circle and the root circle of the gear tooth to get a series of gear parameters aiming at the shortage of traditional gear measurement. The experimental results show that the algorithm can accurately measure the contour of the circle and reach a certain accuracy in measuring the gear, which verified the accuracy and versatility of the algorithm.
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