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基于数字图像处理的晶体硅颗粒形态分析算法
引用本文:刘建忠,刘维一.基于数字图像处理的晶体硅颗粒形态分析算法[J].天津理工大学学报,2007,23(5):78-81.
作者姓名:刘建忠  刘维一
作者单位:南开大学,光电子薄膜器件与技术天津市重点实验室,天津,300071
摘    要:颗粒形态分析是准确进行颗粒识别的基础.本文利用图像处理技术统计颗粒数目,标注颗粒质心,计算了颗粒的面积、周长、圆度、矩形度、伸长度和凸缺率等几何形态特征.其中,凸缺率是为描述一个连通域集合的凹陷程度提出的新概念.实验结果表明,本文的颗粒形态分析算法可以准确有效地完成颗粒形态分析.

关 键 词:图像处理  颗粒形态  质心  凸壳  凸缺率
文章编号:1673-095X(2007)05-0078-04
收稿时间:2006-09-27
修稿时间:2006年9月27日

An algorithm of crystal silicon granule configuration analysis based on digital image processing
LIU Jian-zhong,LIU Wei-yi.An algorithm of crystal silicon granule configuration analysis based on digital image processing[J].Journal of Tianjin University of Technology,2007,23(5):78-81.
Authors:LIU Jian-zhong  LIU Wei-yi
Institution:The Tianjin Key Laboratory for Photoelectronic Thin Film Devices and Technology, Nankai University, Tianjin 300071, China
Abstract:The analysis of granule configuration is the base of identifying granule. This paper proposes an algorithm based on digital image processing, which can mark the centroid,count the amount of granule and compute the geometry configuration characteristic. Generally, the geometry configuration consists of the area,perimeter, circle ratio, rectangle ratio, elongation and convex deficiency ratio. Especially, the convex deficiency ratio is a new concept for the concave degree. The experiment results show that the proposed algorithm in this paper can complete the analysis of granule configuration efficiently.
Keywords:image processing  granule configuration  centroid  convex hull  convex deficiency ratio
本文献已被 CNKI 维普 万方数据 等数据库收录!
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