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文章摘要
基于图像亚像素二次定位的电缆护套厚度精确测量
Measurement of Cable Thickness Based on Sub-pixel Image Processing
Received:June 10, 2014  Revised:June 10, 2014
DOI:
中文关键词: 亚像素重定位  Gaussian-Hermite矩  Sobel  电缆护套厚度
英文关键词: Sub-pixel Image Processing  Gaussian-Hermite moments  Sobel  Cable Thickness
基金项目:国家自然科学基金(61273266)资助项目和盐城工学院人才引进(KJC2013014)资助项目。
Author NameAffiliationE-mail
ZHOU Feng* College of Information Engineering,Yancheng Institute of Technology zfycit@163.com 
CHEN Shu College of Information Science and Engineering,Southeast University
College of Information Science and Engineering,Southeast University 
 
ZHAO Li College of Information Science and Engineering,Southeast University  
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中文摘要:
      图像测量技术作为一种新兴的高性能测量技术,近年来在测量领域中占据越来越重要的地位。它具有非接触,精度高,速度快等优点,如今已广泛被用在几何尺寸测量领域。文中提出了一种改进的Sobel边缘检测技术和一种基于Gaussian-Hermite矩的亚像素重定位算法,并在电缆护套材料厚度测量系统中应用这两种算法,实现快速、精确测量。
英文摘要:
      Image measurement technique has been a new high-performance measurement technology in recent years, it occupies an increasingly important position in the measurement field. It has been widely used in geometry measurement field because of its advantage of non-contact,Shigh accuracy,Shigh speed. The paper puts forward an improved Sobel edge detection algorithm and proposed a new sub-pixel edge detection algorithm based on the Gaussian-Hermite moments. Then apply it to the cable sheath material thickness measurement and achieved a precise and fast measurement system.
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