使用CCD成像的机器视觉系统进行精加工零件尺寸检测时，图像轮廓边缘的亚像素定位分析是决定测量精度的一个重要因素。
The subpixel localization is a key factor to determinate measurement accuracy in using CCD vision measurement system for measuring the size of precision part.
摄像机光学畸变的修正以及图像处理的亚像素定位方法，减小了目标图像的定位误差，提高了系统的测量和调整的精度。
The correction of camera optics distortion and sub-pixel method for image processing can reduce the error of target image orientation for the precision improvement of system measuring.
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。
The experiment results show that the precision of two algorithms is satisfactory and the velocity of the MLS linear regression subpixel localization is faster.
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