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基于Edge Drawing的工业图像圆检测算法

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针对基于Hough变换类圆检测算法所需的参数较多和计算量较大的问题,本文提出一种实时的、无参数的圆检测算法.该算法通过利用ED(Edge Drawing)算法得到图像中的若干边缘片段,并通过线段检测器从边缘片段几何中提取可能构成圆的圆弧线段集合.对每一对线段进行分析,判断是否可以形成一对有效线段,从而生成初始的圆集合.接下来依据圆边缘的几何属性生成候选圆并采用反向验证原理进行验证.实验结果表明,该方法在图像中的圆存在模糊、阴影和遮挡等干扰下仍有较好的检测效果,并且相较于其他算法,在工业图像上的精度和稳定性得到显著提高.
Industrial Image Circle Detection Algorithm Based on Edge Drawing
In this paper,a real-time,parameterless circle detection algorithm based on Hough transform is proposed to solve the problems of more parameters and more computation.This algorithm obtains several edge segments in the image by using ED(Edge Drawing)algorithm,and extracts the set of arc segments that may form a circle from the edge segment geometry by using line segment detector.Each pair of line segments is analyzed to determine whether a pair of effective line segments can be formed,thus generating an initial set of circles.Then the candidate circle is generated according to the geometric properties of the circle edge and verified by the reverse verification principle.The experimental results show that the proposed method can still detect the circle in the image under the interference of blur,shadow and occlusion,and the accuracy and stability of the indus-trial image are significantly improved compared with other algorithms.

circle detectionpolarity analysisEDcircle fittingregion constraint

杨庆五、罗小辉、刘鑫

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华中科技大学机械科学与工程学院,湖北 武汉 430074

圆检测 极性分析 ED 圆拟合 区域约束

2024

计算机与现代化
江西省计算机学会 江西省计算技术研究所

计算机与现代化

CSTPCD
影响因子:0.472
ISSN:1006-2475
年,卷(期):2024.(11)