基于Log-Gabor滤波器的织物起球客观评级方法  

Objective rating method of fabric pilling based on Log-Gabor filter

作　　者：景军锋[1] 张赞赞[1] 李鹏飞[1] 

机构地区：[1]西安工程大学电子信息学院,西安710048

出　　处：《计算机工程与应用》2014年第8期247-250,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.61301276);陕西省教育厅项目(No.2013JK1084);西安工程大学青年学术骨干支持计划;西安工程大学学科建设经费资助

摘　　要：作为传统Gabor小波的一种改进,Log-Gabor滤波器在机器视觉领域已经得到广泛的应用,利用Log-Gabor滤波器的特性结合主成分分析(PCA)与支持向量机(SVM)对织物起球的等级进行客观评价。针对Log-Gabor特征的高维问题,改进了传统的特征提取方法,提高了实验的计算效率,减少了运行时间。通过与Gabor小波的实验结果比较,该方法可以有效捕捉起球信息,最高正确识别率达到了95%。As an improvement of the traditional Gabor wavelet, the Log-Gabor filter has been widely used in the field of machine vision. This paper proposes a new method of rating the fabric pilling objectively using the characteristics of Log-Gabor filter combined with Principal Component Analysis（PCA）and Support Vector Machine（SVM）. For the high dimensional problem of Log-Gabor features, this paper improves the traditional feature extraction methods, which can improve the computation efficiency and reduce the running time. Compared with the experimental results of Gabor wavelet, this method can effectively capture the pilling information. The highest correct recognition rate is 95%.

关 键 词：织物起球 客观评价 LOG-GABOR滤波器 支持向量机 特征提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]