基于Radon变换与灰度重心法的环形目标直径测量方法

郭延杰; 白福忠; 张铁英; 武建新; 徐刚

doi:doi:10.3788/lop52.081501

激光与光电子学进展, 2015, 52 (8): 081501, 网络出版: 2015-07-23

基于Radon变换与灰度重心法的环形目标直径测量方法下载： 538次

Ring Object Diameter Measuring Method Based on Radon Transform and Gray Gravity Algorithm

论文大纲

郭延杰 ^*白福忠张铁英武建新徐刚

作者单位

内蒙古工业大学机械学院, 内蒙古呼和浩特 010051

机器视觉直径测量 Radon 变换灰度重心法 machine vision diameter measurement Radon transform gray gravity algorithm

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摘要

为了提高传统接触式测量方法的测量效率并避免人为误差的影响，同时克服机器视觉中常用的Hough 变换圆检测算法计算量大以及不适用于同心圆检测的情况，提出一种新的视觉测量方法用于实现环形目标直径测量。该方法通过阈值分割与边缘检测得到物体的轮廓图像，进行轮廓Radon 变换，得到包含四条光带的处理结果并反映了所有方向角上环形目标直径的测量数据，利用灰度重心法提取光带中心线，进而根据中心线之间的距离计算出环形目标直径。仿真与实验表明，所提方法测量结果科学可靠，拥有较高的测量精度，能够实现同心与偏心目标直径的自动非接触测量，将具有很好的工程应用价值。

Abstract

To improve the measuring efficiency and avoid the influence from artificial error in the traditional contact method, and to overcome some limits presented in the Hough transform circle detection algorithm that often uses to machine vision, such as heavy calculation amount and inapplicable to the concentric circles detection, a new vision measurement method to measure the ring object diameter is proposed. The proposed method obtains the contour image of object through threshold segmentation and edge detection.Then the Radon transform to the contour image is executed, and the pretreatment result that includes in four light stripes reflects the measuring data of the ring diameter in the all direction angle. Finally, the central lines are extracted from the light strips with the gray gravity algorithm, furthermore the ring diameters are calculated according the distances between central lines. The simulation and experiment indicate that the proposed method holds scientific and reliable measurement result with higher measuring accuracy. Also, it can realize the automatic and non-contact measurement of concentric and eccentric object diameter and hence will hold good engineering application prospect.

参考文献

[1] 程灏波. 精研磨阶段非球面面形接触式测量误差补偿技术[J]. 机械工程学报, 2005, 41(8): 228-232.

Cheng Haobo. Touch trigger probe measurement accuracy of aspherical mirror during fine lapping process[J]. Chinese Journal of Mechanical Engineering, 2005, 41(8): 228-232.

[2] Dimitrios Ioannou, Walter Huda, Andrewf Laine. Circle recognition through a 2D Hough transform and radius histogramming [J]. Image and Vision Computing, 1999, 17(1): 15-26.

[3] Jiang Lian- yuan. Fast detection of multi- circle with randomized Hough transform[J]. Optoelectron Lett, 2009, 5(5): 397-400.

[4] 侯俊捷, 魏新国, 孙军华. 基于同心圆合成图像匹配的双目视觉标定[J]. 光学学报, 2012, 32 (3): 0315003.

Hou Junjie, Wei Xinguo, Sun Junhua. Calibration method for binocular vision based on matching synthetic images of concentric circles[J]. Acta Optica Sinica, 2012, 32(3): 0315003.

[5] Diao Luhong, Yu Bin, Li Hua. A new edge detector based on Fresnel diffraction[J]. Pattern Recognition Letters, 2007 (28): 859-864.

[6] 王文峰, 朱书华, 冯以浩, 等. 基于局部方向编码的遥感影像平行边缘识别[J]. 光学学报, 2012, 32(3): 0315001.

Wang Wenfeng, Zhu Shuhua, Feng Yihao, et al.. Parallel edges detection from remote sensing image using local orientation coding[J]. Acta Optica Sinica, 2012, 32(3): 0315001.

[7] 李茂宽, 关键. 基于共形几何代数与Radon 变换的圆检测方法[J]. 光电工程, 2010, 37(4): 72-76.

Li Maokuan, Guan Jian. Circle detection algorithm based on conformal geometric algebra and Radon transform[J]. Opto-Electronic Engineering, 2010, 37(4): 72-76.

[8] 孔华锋, 鲁宏伟, 胡东红. 基于改进Radon 变换的芯片几何特征检测[J]. 计算机工程, 2010, 37(4): 210-212.

Kong Huafeng, Lu Hongwei, Hu Donghong. Geometry reature detection of chip based on improved Radon transform [J]. Computer Engineering, 2010, 37(4): 210-212.

[9] 胡姝玲, 王鑫龙, 孙昱, 等. 基于CMOS 相机的低相干图像中心条纹提取的算法分析[J]. 激光与光电子学进展, 2012, 49(11): 111002.

Hu Shuling, Wang Xinlong, Sun Yu, et al.. Algorithm analysis on extracting the information of central fringe of lowcoherence interference image of CMOS camera[J]. Laser & Optoelectronics Progress, 2012, 49(11): 111002.

[10] 赵博华, 王伯雄, 张金, 等. 粗糙金属表面光条中心提取方法[J]. 光学精密工程, 2011, 19(9): 2138-2144.

Zhao Bohua, Wang Boxiong, Zhang Jin, et al.. Extraction of laser stripe center on rough metal surface[J]. Optics and Precision Engineering, 2011, 19(9): 2138-2144.

[11] 吴家勇, 王平江, 陈吉红. 基于梯度重心法的线结构光中心亚像素提取方法[J]. 中国图象图形学报, 2009, 14(7): 1354-1360.

Wu Jiayong, Wang Pingjiang, Chen Jihong. Method of linear structured light sub-pixel center position extracting based on gradient barycenter[J]. Journal of Image and Graphics, 2009, 14(7): 1354-1360.

[12] 祝海江, 吴福朝, 胡占义. 基于两条平行线段的摄像机标定[J]. 自动化学报, 2005, 31(6): 853-864.

Zhu Haijiang, Wu Fuchao, Hu Zhanyi. Camera calibration based on two parallel line segments[J]. Journal of Image and Graphics, 2005, 31(6): 853-864.

郭延杰, 白福忠, 张铁英, 武建新, 徐刚. 基于Radon变换与灰度重心法的环形目标直径测量方法[J]. 激光与光电子学进展, 2015, 52(8): 081501. Guo Yanjie, Bai Fuzhong, Zhang Tieying, Wu Jianxin, Xu Gang. Ring Object Diameter Measuring Method Based on Radon Transform and Gray Gravity Algorithm[J]. Laser & Optoelectronics Progress, 2015, 52(8): 081501.

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