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数字散斑相关方法的全场优化表述
引用本文:王显,马少鹏,陈俊达,宋义敏.数字散斑相关方法的全场优化表述[J].北京理工大学学报,2011,31(5):505-508.
作者姓名:王显  马少鹏  陈俊达  宋义敏
作者单位:王显,马少鹏,WANG Xian,MA Shao-peng(北京理工大学,宇航学院,北京,100081);陈俊达,CHEN Jun-da(北京工程装备系统工程研究所,北京,100101);宋义敏,SONG Yi-min(中国矿业大学力学与建筑工程学院,北京,100083)
基金项目:国家自然科学基金资助项目,北京理工大学爆炸科学与技术国家重点实验室开放基金资助项目
摘    要:从图像运动估计中的基本假设——灰度不变假设出发,用优化方法建立了基于整幅图像匹配的数字散斑相关方法(也称为数字图像相关方法)求解模型,即全场优化求解模型.从建立的全场求解模型出发可引申出常用的两类数字散斑相关方法的求解思路,即基于离散的子区匹配的数字散斑相关方法求解模型和基于有限元的数字散斑相关方法求解模型.从模型建立及求解分析中可知,位移表征模式是数字散斑相关方法求解模型的关键,不同的位移表征模式可构成不同的数字散斑相关方法求解方法.

关 键 词:数字散斑相关方法  灰度不变假设  优化  位移表征
收稿时间:2010/3/18 0:00:00

Global Optimization Model for Digital Speckle Correlation Method
WANG Xian,MA Shao-peng,CHEN Jun-da and SONG Yi-min.Global Optimization Model for Digital Speckle Correlation Method[J].Journal of Beijing Institute of Technology(Natural Science Edition),2011,31(5):505-508.
Authors:WANG Xian  MA Shao-peng  CHEN Jun-da and SONG Yi-min
Affiliation:WANG Xian1,MA Shao-peng1,CHEN Jun-da2,SONG Yi-min3(1.School of Aerospace Engineering,Beijing Institute of Technology,Beijing 100081,China,2.Beijing Systems Engineering Institute for Engineering Equipment,Beijing 100101,3.School of Mechanics & Civil Engineering,China Mining University,Beijing 100083,China)
Abstract:Based on the very basic assumption in image motion estimation,i.e.the gray-lever invariant assumption,the global optimization solving model for digital speckle correlation method(DSCM),which is also named as digital image correlation(DIC) method was constructed by matching the whole speckle images,instead of subsets of speckled images.Then two kinds of solving schemes for DSCM,subset matching and FEM based DSCM,could be deduced from the global optimization solving model proposed in this paper.It is emphasiz...
Keywords:digital speckle correlation method(DSCM)  constant intensity assumption  optimization  displacement representation  
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