光弹性力学的普遍数字图象处理与纹理分析*
General Digital Picture Processing and Texture Analysis for Photoelasticity
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摘要: 本文对光弹性力学的数字图象处理与纹理分析进行了研究探讨.克服了前人工作[2]、[3]的若干局限.首先阐述了分析光弹性力学图象条纹的普遍有效方法,并利用光强I与图象条纹级数N之间的三角函数关系,推导出象素点灰度Z与条纹级数N对应关系式,从而得到力学参数.相应地还建立了光弹性力学的普遍数字图象处理与纹理分析系统.简称为OYC-1系统.最后,用实例检验此系统,其结果与理论值的最大误差仅为2.3%.Abstract: In this paper,a general digital picture processing and texture analysis for photoelasticity is developed.Overcoming some defects of references [2] and [3],it presents an effective method to analyse fringe patterns of the photoelasticity.By means of the trigonometric function relationship between the light intensity land the image fringe order N,the equations of the fringe order N on brightness Z are deduced,and the mechanical parameters are thus obtained.We established a system of sigital picture processing and texture analysis for photoelasticity,which is called OYC-1 system.Finally,this system is checked with an example.It is found that the differences between measured results and the theoretical values are within 2.3 percent.
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[1] 朱涵,关于任意边界缺口或裂纹群问题的一类解法(Ⅱ)——缺口群的计算,应用数学5,2(1984),153-158. [2] Müller,R.K.and L.R.Saackel,Complete automatic analysis of photoelastic fringes,Exp.Mech.,19,7,(1979),245-251. [3] Voloshin,A.S.and C.P.Burger,Half-fringe photoelasticity:A new approach to whole-field stress analysis Exp.Mech.,23,3(1983),304-313. [4] Rosenfeld,A.and A.C.Kak,Digital Picture Processing,Academic Press(1976). [5] Gonzalez,R.C.and P.Wintz,Digital Image Processing,Addison-Wesley Publishing Company(1977). [6] Yatagal,T.and et al.,Automatic fringe analysis using digital image processing techniques,Opt.Eng.,21,3(1982),432-435. [7] 欧阳曾、叶宁,光弹性力学图象的条纹分析.《全国高教系统第六次人工智能学术讨论会文集》,成都,2,6(1985). -
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