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The Application of the improved CHT algorithm based on openCV2 in the concentric circles detection

机译:改进的基于openCV2的CHT算法在同心圆检测中的应用

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摘要

The circle detection of an image is a common problem in machine vision. In industrial manufacturing, the circular targets are needed to be identified precisely such as identifying the circuit welding holes. Circular Hough gradient transform is the most common method of circle detection, and a rapid algorithm has been implemented in Opencv2[1]. But the error detecting results will be appeared in our concentric circles detecting project. According to the analysis, a modified algorithm is got which is more robust. The experiments are shown that the amendment can be used in the CHT algorithm of opencv2.
机译:图像的圆形检测是机器视觉中的常见问题。在工业制造中,需要精确地识别圆形目标,例如识别电路焊接孔。圆形霍夫梯度变换是最常用的圆检测方法,Opencv2中已实现了一种快速算法[1]。但是错误检测结果将出现在我们的同心圆检测项目中。根据分析,得到了一种更健壮的改进算法。实验表明,该修正可以在opencv2的CHT算法中使用。

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