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机械零件图像中直线边缘亚像素定位方法
引用本文:杨敏,叶邦彦,牟丽,吴春凌.机械零件图像中直线边缘亚像素定位方法[J].华南理工大学学报(自然科学版),2003,31(12):30-33.
作者姓名:杨敏  叶邦彦  牟丽  吴春凌
作者单位:华南理工大学,机械工程学院,广东,广州,510640
摘    要:以计算机视觉在机械零件几何参数检测的实际应用为例,提出了一种使用高斯拉普拉斯(LOG)函数检测斜坡状边缘的像素级位置,在已知目标为直线边缘的情况下,使用最小二乘线性回归把二维的边缘拟合降为一维边缘定位,从而使直线边缘定位达到亚像素级精度的算法.同时还进行了空间矩直线边缘亚像素定位算法与本文所提出算法的对比实验.实验结果表明:在低噪声图像中,两种算法的边缘定位精度均达到满意的结果,且最小二乘线性回归亚像素定位算法速度较快.

关 键 词:边缘检测  LOG算子  线性回归  空间矩  亚像素  机械零件  计算机视觉
文章编号:1000-565X(2003)12-0030-04
修稿时间:2003年5月20日

Method of Straight Line Edge Subpixel Localization for Mechanical Part Image
Yang Min,Ye Bang yan,Mou Li,Wu Chun ling.Method of Straight Line Edge Subpixel Localization for Mechanical Part Image[J].Journal of South China University of Technology(Natural Science Edition),2003,31(12):30-33.
Authors:Yang Min  Ye Bang yan  Mou Li  Wu Chun ling
Abstract:Based on practical application of computer vision for mechanical parts geometry parameter inspection, a new approach is presented to determine the ramp edge at the level of pixel using Laplacian of Gaussian (LOG) function. The pixel level edge to subpixel accuracy is then located by using the MLS linear regression on the condition that the model of the edge is known. Contrastive experiments have been conducted to test the algorithm of the spatial moment subpixel localization for the straight line edge and the algorithm proposed in this paper. The experiment results show that the precision of two algorithms is satisfactory and the velocity of the MLS linear regression subpixel localization is faster.
Keywords:edge inspection  LOG operator  linear regression  spatial moment  subpixel
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