摘要
详细介绍了产生理想直线边缘的方法。在亚像素提取算法中 ,通常要考察算法两个方面的内容 ,一是在没有噪声的情况下算法本身的精度 ,二是在有噪声的条件下考察算法的抗噪声能力 ,这两个方面是分开的。本文所介绍的理想边缘就可以用来考察亚像素算法精度的两个方面。本方法以CCD成像原理为基础 ,根据方形孔径采样定理 ,给出了边缘点灰度值的计算方法 ,并以一种情况为例给出了边缘点灰度值的计算公式 ,利用此公式可直接编程产生理想边缘 ,产生的边缘可用于亚像素细分算法的评价。
A method for generating an ideal edge line is introduced in detail. In subpixel edge extraction algorithm, the accuracy of subpixel algorithm without noise and the ability of the algorithm to resist noise under noisy circumstance should be considered and examined separately. The ideal edge introduced in this paper can be used to examine the subpixel algorithm. Based on the principle of imaging formation of CCD camera and the square aperture sampling theorem, a calculation method of gray level of boundary points is given. Furthermore,calculation formulas of boundary points' gray level are presented in a specific condition. It is convenient to generate an ideal edge using these formulas, which can be used in the validation of subpixel algorithm.
出处
《光学精密工程》
EI
CAS
CSCD
2002年第1期89-93,共5页
Optics and Precision Engineering
基金
国家自然科学基金 (No .5 9875 0 6 6 )
关键词
图像测量系统
灰度
计算方法
方形孔径采样
理想边缘
image measuring systems
gray level
calculation methods
square aperture sampling
