基于弦中点Hough变换的工件检测方法  

Workpiece Detection Method Based on Chord Midpoint Hough Transform

作　　者：夏伟 穆龙涛 Xia Wei;Mu Long-tao(School of Mechanical Engineering,Shaanxi Polytechnic Institute,Shaanxi Xianyang 712000;Engineering Research Center of Composite Movable Robot,Universities of Shaanxi Province,Shaanxi Xianyang 712000)

机构地区：[1]陕西工业职业技术学院机械工程学院,陕西咸阳712000 [2]复合型移动机器人陕西省高校工程研究中心,陕西咸阳712000

出　　处：《内燃机与配件》2025年第4期69-71,共3页Internal Combustion Engine & Parts

基　　金：陕西工业职业技术学院校级科研项目(2022YKYB-007)。

摘　　要：为提高孔类工件的检测效率和准确性,在传统Hough变换圆检测的基础上,采用基于弦中点的Hough变换圆形目标检测算法对孔类零件进行识别,该算法降低传统Hough变换圆检测中的累积维数,将三维参数转变成基于弦中点的圆心和半径的参数统计。基于圆上所有点的内切圆必经过圆中心的事实,根据黑白边缘建立二维数组累加器,依照像素点分布扫描边缘图像累加器计数,计算出圆心坐标和半径值。与传统Hough变换检测方法相比,该方法降低了计算复杂度,具有更高的执行速度和检测精度。This paper proposes a chord midpoint-based Hough transform circle detection algorithm to improve the detection efficiency and accuracy of hole-type workpieces.Compared to the traditional methods,the enhanced algorithm reduces the accumulation dimensionality by transforming the three-dimensional parameter space into a two-dimensional parameter space based on chord midpoints,which involves statistical analysis of the circle's center and radius.Leveraging the principle that the incircle of all points on a circle must pass through its center,a two-dimensional accumulator array is established based on black-and-white edges.By scanning the edge image and accumulating counts according to pixel point distribution,the coordinates of the circle's center and its radius are calculated.As a result,this method reduces computational complexity and achieves higher execution speed and detection accuracy.

关 键 词：圆检测 弦中点 HOUGH变换 边缘图像 

分 类 号：TH161.24[机械工程—机械制造及自动化]