结论理论和试验结果分析表明，在边缘精度、强弱边缘提取和噪声抑制方面，该算法是有效的。
Furthermore, we analyze the result of the experiment, which proves that the algorithm proposed in this paper is efficient on edge precision, detail edge detection and restraining noise.
从实验的结果来看，这种方法能够对对准标记达到很好的边缘定位，提高了对准精度。
From the results of experimentation, the method can make the mark image edge achieve good edge localization and improve the alignment precision.
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.
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