应用灰度共生矩阵分析条纹周期

杨阳; 张启灿

光学与光电技术, 2017, 15 (2): 81, 网络出版: 2017-05-09

应用灰度共生矩阵分析条纹周期

Periodicity Analysis of a Fringe Pattern with Gray Level Co-Occurrence Matrix

论文大纲

杨阳 ^*张启灿

作者单位

四川大学电子信息学院光电系, 四川成都 610064

灰度共生矩阵纹理特征提取条纹周期三维测量 gray level co-occurrence matrix (GLCM) texture feature extraction fringe period three-dimensional shape measurement

摘要

利用灰度共生矩阵能提取图像纹理信息的特点,在灰度共生矩阵的14个纹理特征值中选取与纹理周期性相关的特征值,对三维测量中强度有规律重复分布的变形条纹图像的周期进行分析,能准确得出条纹的周期数,或者每周期中的像素个数,给傅里叶变换轮廓术的滤波操作等后续条纹分析提供参考依据。对模拟条纹和实拍条纹的周期分析、纹理特征提取实验表明灰度共生矩阵提取的条纹周期参数与实际值相符合,能准确反映条纹图像的周期特性,可用于条纹分析的实际应用中。

Abstract

The texture information of an image can be extracted by using the gray level co-occurrence matrix (GLCM). In this paper, among the fourteen characteristic values of the GLCM results, the characteristic value associated with the periodic texture features of a image is selected, and is used to analyze the periodicity (the period number or the pixel number in one period) of a deformed fringe pattern whose intensity distribution periodically repeat in the three-dimensional (3D) shape measurement. It will be helpful to the subsequent fringe analysis, such as the filtering operation in Fourier transform profilometry. Experimental results on the period analysis of some simulated fringes and actual deformed fringes show that their period parameters which extracted with the GLCM are consistent with the actual value. The period features of the fringe image can be accurately recovered and be used in the practical application of fringe analysis.

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杨阳, 张启灿. 应用灰度共生矩阵分析条纹周期[J]. 光学与光电技术, 2017, 15(2): 81. YANG Yang, ZHANG Qi-can. Periodicity Analysis of a Fringe Pattern with Gray Level Co-Occurrence Matrix[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2017, 15(2): 81.

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