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基于HT的显微视觉亚像素定位算法
引用本文:董代,孙明磊,石晶欣,刘荣,宗光华.基于HT的显微视觉亚像素定位算法[J].光电工程,2006,33(10):28-37,66.
作者姓名:董代  孙明磊  石晶欣  刘荣  宗光华
作者单位:1. 北京航天控制仪器研究所,北京,100039
2. 北京航空航天大学,机械工程及自动化学院,北京,100083
基金项目:国家211工程项目;国家高技术研究发展计划(863计划)
摘    要:根据显微图像的几何特点,提出了基于HT(Hough Transform)十字显微图像亚像素定位算法(SLACHT)和基于HT近似圆显微图像亚像素定位算法(SLARHT),对显微图像特征中的直线和近似圆的亚像素定位做了深入的研究。通过与经典直线HT定位算法和经典随机HT圆定位算法进行实验对比,验证了该定位算法的优越性;通过与Matlab中的直线HT定位算法和圆HT定位算法进行实验对比,验证了该算法的可靠性。大量实验表明,该算法的定位精度优于0.01像素,具有运行速度快、鲁棒性强的特点。

关 键 词:显微图像  边缘检测  亚像素定位  Hough变换
文章编号:1003-501X(2006)10-0028-11
收稿时间:2006-01-06
修稿时间:2006-01-062006-06-16

Sub-pixel localization algorithm of micro-vision based on Hough transform
DONG Dai,SUN Ming-lei,SHI Jing-xin,LIU Rong,ZONG Guang-hua.Sub-pixel localization algorithm of micro-vision based on Hough transform[J].Opto-Electronic Engineering,2006,33(10):28-37,66.
Authors:DONG Dai  SUN Ming-lei  SHI Jing-xin  LIU Rong  ZONG Guang-hua
Affiliation:1. BeijingAerospace Control Device Institute, Beijing 100039, China; 2. School of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China
Abstract:According to geometric characteristics of micro-image, Sub-pixel Localization Algorithm of Crisscross image based on Hough Transform (SLACHT) and Sub-pixel Localization Algorithm of Round Image based on Hough Transform (SLACHT) are presented. Sub-pixel localization of linear and round image of micro-image is studied in detail. In contrast with classic Hough Transform (HT) algorithm detecting straight line and classic Random Hough Transform (RHT) algorithm detecting circle, CSLHT and RSLHT show more advantages. Reliability of the algorithms is proved by comparing with algorithm written by Matlab software. Many experiments show that localization accuracy of the algorithms is less than 0.01 pixel, and that they are accurate, running fast and strong robust.
Keywords:Micro-image  Edge detection  Sub-pixel localization  Hough transform
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