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基于邻域统计编码的轮廓提取在CCD二维多尺寸检测中的应用
引用本文:黄文恺,徐杜,蒋永平,林俊,段海淼.基于邻域统计编码的轮廓提取在CCD二维多尺寸检测中的应用[J].光学与光电技术,2006,4(5):101-103.
作者姓名:黄文恺  徐杜  蒋永平  林俊  段海淼
作者单位:广东工业大学信息工程学院,广州,510006
基金项目:广东省高等学校自然科学基金
摘    要:为了更有效地从二值图像中提取更高质量的曲线轮廓,提出一种基于邻域统计编码的轮廓提取算法,它能在快速地提取出待测零件轮廓的同时,滤除毛刺和噪声.在检测精度不变的情况下,具有速度高和鲁棒性较好的特点.

关 键 词:邻域统计编码  轮廓提取  尺寸检测
文章编号:1672-3392(2006)05-0101-03
收稿时间:2006-05-20
修稿时间:2006-06-22

CCD 2D Multi-Measurement Testing Based on Neighborhood Stastistic Coding Boundary Detection
HUANG Wen-kai,XU Du,JIANG Yong-ping,LIN Jun,DUAN Hai-miao.CCD 2D Multi-Measurement Testing Based on Neighborhood Stastistic Coding Boundary Detection[J].optics&optoelectronic technology,2006,4(5):101-103.
Authors:HUANG Wen-kai  XU Du  JIANG Yong-ping  LIN Jun  DUAN Hai-miao
Abstract:Getting the boundary from a black-white image is very important in CCD 2D multi-measurement testing. In order to get higher quantity, this paper presents neighborhood statistic coding algorithm to get the boundary of the parts rapidly, filter the burrs and noise at the same time. The experiments show that the algorithm has quite high speed and robust at the same testing accuracy.
Keywords:neighborhood statistic coding  boundary detection  measurement testing
本文献已被 CNKI 维普 万方数据 等数据库收录!
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