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.
利用亚像素边缘定位算法,对砂轮图像进行轮廓提取,并与理论轮廓进行比较。
The outline edge of grinding wheel can be extracted with the algorithm, and the detected result is compared with the perfect outline.
利用亚像素边缘定位算法,对砂轮图像进行轮廓提取,并与理论轮廓进行比较。
The outline edge of grinding wheel can be extracted with the algorithm, and the detected result is compared with the perfect outline.
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