湖北工程学院学报2017，Vol.37Issue(3)：49-53,5.
基于Gabor滤波器的织物纹理图像分类
Classification of Fabric Texture Images Based on Gabor Filters
摘要
Abstract
In view of strong directivity and specific periodicity shown in the fabric texture images, an approach is proposed to extract the feature of fabric texture images with Gabor filters.Firstly, the Gabor filters are used to analyze the fabric texture images from different directions and scales.Then the mean and variance of the filtered results are calculated to characterize the textural features.Finally, an one-vs-all scheme is applied to train multiple Support Vector Machine (SVM) classifiers for the classification of different types of fabric texture images.Experimental results show that the proposed method performs well both in representing the fabric textural features and providing promising classification performance.关键词
Gabor滤波器/特征提取/纹理分类/支持向量机Key words
Gabor filter/feature extraction/texture classification/support vector machine (SVM)分类
信息技术与安全科学引用本文复制引用
闫亚娣,张凯兵,王珍..基于Gabor滤波器的织物纹理图像分类[J].湖北工程学院学报,2017,37(3):49-53,5.基金项目
国家自然科学基金项目(61471161) （61471161）
西安工程大学教学改革研究项目(2016JG19) （2016JG19）
