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FRACTAL SPECKLE IMAGE ANALYSIS FOR SURFACE CHARACTERIZATION OF AEROSPACE STRUCTURES

机译:航空航天结构表面表征的分形散斑图像分析

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Surface characterization of the working components has always been a subject of interest among researchers and industry specialists. Especially in the aerospace industry where the aerodynamic capabilities are largely altered by the surface quality of the component of interest, there remains an extensive need for developing systems for effectively characterizing the surface quality. To realize an optical based non-contact and an in-line surface roughness measurement system, it is essential to understand the relationship between the quality of the surface and statistical parameter of the reflected speckles. The range of the measurement system being proportional to the wavelength of light used makes the analysis fundamentally important in order to understand the properties of speckles at a different wavelength. In this context, this paper examines the nature of the formed IR speckles from three different diffusers by analyzing their raw structure. Image processing algorithms that are developed study the different parameters of the 8-bit binary speckles, namely, the fractal property and number of connecting components. The paper also discusses the future work direction on relating the proposed analysis to derive the algorithm required for evaluating the surface finish parameters.
机译:工作部件的表面表征一直是研究人员和行业专家关注的主题。尤其是在航空工业中,空气动力学能力在很大程度上受到所关注部件的表面质量的影响,因此,仍然存在对开发系统以有效表征表面质量的广泛需求。为了实现基于光学的非接触式和在线式表面粗糙度测量系统,必须了解表面质量和反射斑点的统计参数之间的关系。测量系统的范围与所用光的波长成正比,因此从根本上进行分析很重要,以便了解不同波长处的斑点特性。在这种情况下,本文通过分析三个漫射体的原始结构,研究了它们形成的红外散斑的性质。所开发的图像处理算法研究8位二进制散斑的不同参数,即分形特性和连接分量的数量。本文还讨论了与提出的分析相关联以得出评估表面光洁度参数所需算法的未来工作方向。

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