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。
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。
A new sub-pixel algorithm based on the principle of the parabola fitting is proposed.
本文提出了一种新颖的基于抛物线拟合原理的亚像素求取算法。
Experiments show that the algorithm obtains similar PSNR to full sub-pixel search at very low computation cost.
实验结果表明该算法以极小的搜索代价取得了与全搜索相当的效果。
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。
A zero-padding algorithm based on correlation-based image analysis theory with the accuracy of sub-pixel class was presented to determine the benchmarks in different digital images.
基于图像相关分析理论提出了一种新的补零相关分析算法以确定不同数字图像上的相关标记点，其测量精度可达亚像素量级。
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。
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。
Based on polynomial interpolation to improve the sub-pixel subdivision algorithm.
一种基于多项式插值改进的亚像素细分算法。
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。
Experiment results indicate this algorithm can extract Center of Structured Light Stripe accurately, it is of strong anti-noise capability and its accuracy is at sub-pixel level.
实验结果表明，该算法能够准确地提取出光条中心，具有很强的抗噪声能力，精度为亚像素级。
Experiment results indicate this algorithm can extract Center of Structured Light Stripe accurately, it is of strong anti-noise capability and its accuracy is at sub-pixel level.
实验结果表明，该算法能够准确地提取出光条中心，具有很强的抗噪声能力，精度为亚像素级。
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