因此，用于边缘精确定位的亚像素算法已被广泛研究。
Therefore, the sub-pixel algorithm in edge precise positioning was widely researched.
利用理想光条法，比较了几种有代表性的亚像素算法对于圆弧状边缘的定位能力。
Through ideal light bar method, some representative sub-pixel algorithm were compared for the capability of positioning circular arc edge.
构建了基于计算机视觉的齿形链链板的测量系统，对直线和圆的边缘定位，提出了新的亚像素算法，计算了齿形链链板的销孔直径及圆度误差、链板节距和两直边夹角，对测量结果进行了误差分析。
The measurement system on chain board of tooth shape chain was established based on computer vision, and a new kind of sub-pixel algorithm for edge orientation of beeline and circle was put forward.
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