• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>SPIE/COS Photonics Asia Conference >Contour positioning method for irregularly shaped workpiece applied to machine vision
【24h】

Contour positioning method for irregularly shaped workpiece applied to machine vision

机译：异形工件在机器视觉中的轮廓定位方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Considering actual industrial production, precise positioning for irregularly shaped workpiece is required. If the workpiece is located by the method of machine vision, the critical step is to get the position of workpiece contour in image. However the edge information quality in image can be affected by workpiece shape, material, lighting method and other factors. Especially for the complex edge information, the traditional edge detection algorithm is usually hard to eliminate the noise points near the true edge, these noise points will be misjudged as true edge points, which will reduce the accuracy of the contour positioning results. In this paper, a precise contour positioning method for workpiece with irregular shape was proposed. Firstly, based on the initial results of template matching, edge detection region with variable size according to the edge normal direction was created, then a set of edge points can be obtained. Secondly, according to the correlation between true edge points, the position deviation of each point was calculated, and the edge point evaluation function was defined by combining gradient amplitude and position deviation. Finally, removing the points with lower defined scores to obtain final set of edge points, which determines the position of workpiece contour in image. The experiments show that this method can effectively exclude noise points in edge point set, obtain the true contour of workpiece with any shape, and overcome the shortcomings that the traditional edge detection algorithm is greatly influenced by edge noise. The method has high accuracy, stability and strong practicality.
机译：考虑到实际的工业生产，需要对不规则形状的工件进行精确定位。如果通过机器视觉方法定位工件，则关键步骤是获取图像中工件轮廓的位置。然而，图像中的边缘信息质量会受到工件形状，材料，照明方法和其他因素的影响。特别是对于复杂的边缘信息，传统的边缘检测算法通常很难消除真实边缘附近的噪声点，这些噪声点将被误判为真实边缘点，从而降低了轮廓定位结果的准确性。提出了一种不规则形状工件的精确轮廓定位方法。首先，基于模板匹配的初始结果，创建了根据边缘法线方向变化大小的边缘检测区域，然后可以获得一组边缘点。其次，根据真实边缘点之间的相关性，计算每个点的位置偏差，并结合梯度幅度和位置偏差定义边缘点评估函数。最后，去除定义分数较低的点，以获得最终的边缘点集，这将确定图像中工件轮廓的位置。实验表明，该方法可以有效地排除边缘点集中的噪声点，获得任意形状的工件真实轮廓，克服了传统的边缘检测算法受边缘噪声影响较大的缺点。该方法准确度高，稳定性好，实用性强。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号