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基于网络可生存性的网站保护系统
引用本文:刘 宇,张玉清.基于网络可生存性的网站保护系统[J].计算机工程,2008,34(19):167-169,.
作者姓名:刘 宇  张玉清
作者单位:中国科学院研究生院工程教育学院,北京100049
基金项目:国家自然科学基金,中国科学院"百人计划"
摘    要:利用机器视觉技术建立圆形零件检测系统,采用简单高效的标定方法和亚像素技术实现对圆孔和圆形零件的非接触精密测量.圆孔和圆形的直径测量过程包括图像采集、图像分析处理和结果输出.其核心算法是系统校正、图像预处理、二值化和圆检测.实验结果证明,该系统实现了在线实时检测,其精度达0.01 mm,具有良好的应用前景.

关 键 词:机器视觉  亚像素  尺寸检测  摄像机标定
修稿时间: 

Website Protection System Based on Network Survivability
ZHANG Yu,HUANG Ya-bo,JIAO Jian-bin.Website Protection System Based on Network Survivability[J].Computer Engineering,2008,34(19):167-169,.
Authors:ZHANG Yu  HUANG Ya-bo  JIAO Jian-bin
Affiliation:(College of Engineering, Graduate University of Chinese Academy of Sciences, Beijing 100049)
Abstract:This paper establishes a detection system for circular parts based on machine vision technique, which uses calibration method and sub-pixel technique to implement the untouched exact measure of circular holes and circular parts. The diameter measure process of circular holes and circular parts includes image capture, image analysis and disposal, and measure results output. The image compensation, image preprocess, image binarization, and circle detect methods are used in the core algorithm of this system. Experimental results prove that it realizes online real-time detection with high accuracy in 0.01 mm and has broad prospects for the application.
Keywords:machine vision  sub-pixel  dimension detection  camera calibration
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