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。
And the method of the polynomial interpolation for sub-pixel edge measure was also studied elementarily.
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。
Using improved sub-pixel edge detecting algorithm based on the expectation of first-order derivatives, we can fast and precisely detect the edge position.
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。
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.
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 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.
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 this paper, a new multifractal algorithm is proposed based on sub-pixel edge measure. The method can precisely divide the image from texture to edge for image singularity analysis.
本文提出了一种基于亚像素边缘测度的多重分形算法，应用于图像奇异性分析中可以实现从纹理到边缘各层面的精确划分。
The high accuracy center measuring method of marked points technique based on the fitting sub-pixel edge, and the methods of coded points designing and coded points auto-detecting were investigated.
采用编码点和非编码点相结合的方法实现摄影测量中对应点匹配技术，讨论了标记点的中心亚像素定位方法、两类标记点的识别及编码标记点的解码方法。
The location precision is improved to 1/3 pixel by performing sub - pixel edge detection in fiducial satellite photo image.
采取对基准图卫片中特征进行亚像元精度特征定位的方法，可以将匹配精度提高到1／3个像素以内。
After getting pixel stripes with edge detection algorithm, the high precision strips could be detected by sub-pixel technology.
利用边缘提取算法获得像素级条纹后，再利用亚像素技术可以进一步对条纹进行高精度提取。
In the method, the automatic identification of feature area is fulfilled based on the edge attribute, and the sub-pixel center location is accomplished with the least-square approach.
方法中采用基于类椭圆边缘属性对特征区域进行自动识别，采用最小二乘椭圆拟合精确求取类椭圆亚像素定位中心。
Sub pixel matching is carried out by superposing edge feature on image.
同时，采用特征与影像叠加进行了亚像素匹配。
Through ideal light bar method, some representative sub-pixel algorithm were compared for the capability of positioning circular arc edge.
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。
Therefore, the sub-pixel algorithm in edge precise positioning was widely researched.
因此，用于边缘精确定位的亚像素算法已被广泛研究。
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。
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.
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.
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。
应用推荐