Skin Roughness Evaluation Method Based on gray level co-occurrence matrix

被引：1
|
作者：
Lu, Minghao [1 ]
Liu, Yifei [1 ]
He, Wenjuan [1 ]
Li, Xiuxiu [1 ]
机构：
[1] Xian Univ Technol, Fac Comp Sci & Engn, Xian 710048, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Gray level co-occurrence matrix; Skin roughness; Pearson correlation coefficient; Skin roughness sample library;
D O I：
10.1109/ccdc.2019.8832978
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To evaluate the Skin roughness in the image of human, skin features arc based on eigenvalues of the gray level co-occurrence matrix are used, and the Pearson correlation coefficient is used to select the eigenvalues as the evaluation index. In the calculation of new eigenvalue, the normal equation is used to calculate the weight to improve the accuracy of the evaluation. In addition, a rough skin sample library is constructed manually to verify the experimental results of the evaluation method in this paper. In the experiments, the correct rate of the evaluation with the improved eigenvalues are presented by comparison with CON and IDM.
引用
收藏
页码：5671 / 5674
页数：4
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