反之边缘定位精度可提升。
采用平均一自适应联合的平滑算法，显著改善了边缘定位精度，其实质在于消噪和锐化边缘。
Test results show that average-adaptive smoothing operator can evidently improve location accuracy. The reason is that the combined smoothing operator can eliminate noise and make edge sharp.
理论上，应用这样的多小波边缘提取算子提取图像的复合边缘可以有任意高的边缘定位精度。
Theoretically, based on this approach ones have the possibility of getting arbitrary precise localization for the edges that are composed of steps and pulse with wavelet transformation.
实验结果表明：在低噪声图像中，两种算法的边缘定位精度均达到满意的结果，且最小二乘线性回归亚像素定位算法速度较快。
The experiment results show that the precision of two algorithms is satisfactory and the velocity of the MLS linear regression subpixel localization is faster.
基于小波变换的多尺度边缘提取算法，有效地弥补了传统的边缘检测算法的不足，在有效地抑制噪声的同时，提供了较高的边缘定位精度。
Research on image detection based on wavelet makes up the disadvantage in the traditional edge detection and improves the edge localization precision avoiding noise effectively.
目的 提出一种有效解决在SPECT定位算法中提高图像边缘定位精度的新方法，以解决研制的小动物成像系统中存在的边缘图像畸变问题。
Objective To implement a combined method for the small animal CT-SPECT system to correct the distortion at the edge of the image, and to improve the positioning results.
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.
根据匹配和新视点图像生成的需求，特征检测方法需要特征定位的精度较高，能同时检测出角点、边缘等不同特征等。
For the need of the matching and image synthesis the method of extraction can detect the different features of corners and edges and precision of the corner location is relatively good.
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.
为满足工程上要求的高精度计算出零件轮廓参数，在检测出零件轮廓边缘后，角点定位成为影响结果精度的最重要因素。
After the part edge was accurately detected, comer location is the most important part for us to calculate some high -precision contour parameters.
为满足工程上要求的高精度计算出零件轮廓参数，在检测出零件轮廓边缘后，角点定位成为影响结果精度的最重要因素。
After the part edge was accurately detected, comer location is the most important part for us to calculate some high -precision contour parameters.
应用推荐