Speckle Quality Evaluation Based on Gray Level Co-Occurrence Matrix

被引:8
作者
Chu Lu [1 ,2 ]
Liu Bin [1 ,2 ]
Xu Liang [1 ,2 ]
Li Zhiwei [1 ,2 ]
Zhang Baofeng [1 ,2 ]
机构
[1] Tianjin Univ Technol, Sch Elect & Elect Engn, Tianjin 300384, Peoples R China
[2] Tianjin Key Lab Control Theory & Applicat Complic, Tianjin 300384, Peoples R China
关键词
image processing; digital image correlation; speckle pattern; quality evaluation; gray level co-occurrence matrix; texture features; DIGITAL IMAGE CORRELATION; PATTERNS;
D O I
10.3788/LOP202158.0410019
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The digital image correlation (DIC) method is used to measure the surface deformation of the object, and the true change of the measured object is studied through the deformation of the speckle field. The evaluation method of speckle quality is researched in order to determine the influence of speckle used on measurement accuracy before measurement. According to the specific requirements of the DIC method for speckle images, a speckle quality evaluation method based on gray level co-occurrence matrix (GLCM) is proposed. Perform sub-pixel rigid body translation simulation simulation on the actual speckle image, compare the energy, entropy, contrast, and correlation indicators in GLCM with the measurement results of the DIC method for comparison and analysis, and perform comparison experiments with the average gray second derivative and Shannon entropy. By changing the overall brightness level and brightness distribution of the speckle image, the influence of different lighting conditions on the accuracy of the experimental results is explored. The experimental results show that GLCM is effective in evaluating the quality of speckle images.
引用
收藏
页数:9
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