提出了一种新型的测量图像快速亚像素边缘检测方法。
A novel fast sub-pixel edge detection method for image measurement is proposed.
提出了一种新型的测量图像快速亚像素边缘检测方法。
同时对多项式插值亚像素边缘检测方法进行了初步的研究。
And the method of the polynomial interpolation for sub-pixel edge measure was also studied elementarily.
为了提高微操作系统的装配精度，提出了一种新型的亚像素边缘检测和中心定位算法。
In order to improve the resolution and accuracy of micro-assembly systems, a novel sub-pixel edge detection and center localization algorithm for micro-parts is presented.
应用改进后的基于一阶微分期望值的亚像素边缘检测算法，可以快速、精确地检测到边缘的位置。
Using improved sub-pixel edge detecting algorithm based on the expectation of first-order derivatives, we can fast and precisely detect the edge position.
在视觉检测中，许多待检目标边缘都是屋脊型边缘，而现有亚像素边缘检测方法往往只研究阶跃边缘的检测，对屋脊边缘的研究较少。
In industrial vision inspection, many edges of inspecting objects are. some kinds of roof edges, but current sub-pixel edge detection methods are only applied to step edges.
采用基于灰度质心法的径向截面扫描法对图像边缘进行亚像素级检测；
Applying the radial section scanning method based on gray centroid, the image edges are tested with a sub-pixel precision.
在对图像边缘检测上应用了亚像素插分，提高了精度。
Through edge detection and pixel subdivision technique, the accuracy of measurement has been raised.
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.
在利用改进的SUSAN算子进行亚像素角点检测时，综合应用了索贝尔边缘算子、灰度平方重心法等方法。
Sobel operator and gray square centrobaric arithmetic were synthesized with the improved SUSAN operator in subpixel corner detection.
因此，亚像素精度的算法在高精度的边缘检测中受到重视。
So subpixel algorithms are at a premium in higher precision measurement.
以锥形螺纹为研究对象，提出了一个基于支持向量回归的机械零件直线边缘亚像素图像检测方法。
Taking the conical thread as the object of study, a sub-pixel image detection method for the mechanical part linear edge based on the support vector regression was proposed.
以锥形螺纹为研究对象，提出了一个基于支持向量回归的机械零件直线边缘亚像素图像检测方法。
Taking the conical thread as the object of study, a sub-pixel image detection method for the mechanical part linear edge based on the support vector regression was proposed.
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