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基于灰度共生矩阵的非平面表面粗糙度的图像纹理研究
引用本文:阮久忠,周晨波,杨国华,刘桂芬.基于灰度共生矩阵的非平面表面粗糙度的图像纹理研究[J].光学与光电技术,2008,6(6):36-40.
作者姓名:阮久忠  周晨波  杨国华  刘桂芬
作者单位:烟台大学光电信息科学技术学院,山东,炯台,264005
摘    要:采用灰度共生矩阵对不同加工工艺形成的非平面工件表面粗糙度进行了研究。讨论了灰度共生矩阵中二阶矩、对比度、相关值,熵等与图像纹理特性的关系,构建了实验装置,并利用Matlab软件对采集的激光散斑图像进行了处理,得到了共生矩阵的4个特征参数随表面粗糙度的变化曲线。为研究非平面工件的粗糙度,提供了一种新的技术途径。

关 键 词:灰度共生矩阵  特征参数  表面粗糙度  图像纹理
收稿时间:2008/4/8

Image Texture Based on Co-occurrence Matrix for Non-Planar Surface Roughness
RUAN Jiu-zhong,ZHOU Chen-bo,YANG Guo-hua,LIU Gui-fen.Image Texture Based on Co-occurrence Matrix for Non-Planar Surface Roughness[J].optics&optoelectronic technology,2008,6(6):36-40.
Authors:RUAN Jiu-zhong  ZHOU Chen-bo  YANG Guo-hua  LIU Gui-fen
Institution:RUAN Jiu-zhong ZHOU Chen-bo YANG Guo-hua LIU Gui-fen(College of Electro-Optical Information,Yantai University,Yantai 264005,China)
Abstract:The non-planar surface roughness of the non-planar surfaces with different processing are researched based on the gray level co-occurrence matrix.The relationships between image texture and the second moment,inertia,correlation,entropy are discussed.The experimental setup is built.The laser speckle is processed by Matlab.The relation curves of the four parameters and surface roughness are obtained.
Keywords:gray level co-occurrence matrix  characteristic parameter  surface roughness  image texture  
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