摘要
针对现有视觉测量中的检测代价高,精度低和速度慢问题,该文提出一种基于计算机机器视觉的紧密内插值亚像素测量方法。该方法基于线性插值算法的原理,结合常规边缘检测方法和图像的灰度曲线图,利用阈值分割和标准长度进行亚像素自适应阈值选择。为验证该方法的有效性,对标准量块长度进行测量实验,并分析测量系统的误差影响因素。相比于传统的 Canny 算子方法检测结果,该方法的平均测量准确度提升 46.2%。实验结果表明该算法的测量精度较高,可以快速、精确地测量出物体的几何尺寸。
Aiming at the high cost, low accuracy and slow speed problems of existing vision measurements, this paper proposes a novel sub-pixel interpolation algorithm based on computer vision for geometry size measurement. At first this paper discusses the mathematical principle of linear interpolation algorithm. On this basis, combining with conventional edge detection methods and the image grayscale curve graph, a sub-pixel interpolation algorithm based on graph gray level is proposed, which is utilizing the threshold segmentation and standard length for sub-pixel automatic threshold selection. This method has the measurement characteristic of high precision and low time cost. Finally, for verifying the validity the method proposed in this paper is applied to measure the size of standard gauge blocks and the measurement error is analyzed. Compared to the traditional Canny operator method, the measurement accuracy of proposed method is higher than that of canny operator method with 46.2% improvement on average. The experiment results show that the proposed method is available and has high precision for geometry size measurement.
作者
戴宗贤
莫洪波
周勇
张震
尹爱军
梁子晓
DAI Zongxian;MO Hongbo;ZHOU Yong;ZHANG Zhen;YIN Aijun;LIANG Zixiao(Chongqing Academy of Metrology and Quality Inspection,Chongqing 401121,China;College of Mechanical Engineering,Chongqing University,Chongqing 400044,China)
出处
《中国测试》
CAS
北大核心
2019年第5期33-37,共5页
China Measurement & Test
基金
国防基础科研计划(JCKY2016209B008)
关键词
视觉测量
尺寸测量
边缘检测
亚像素插值算法
vision measurement
geometry size measurement
edge detection
sub-pixel linear interpolation algorithm
