Fabric Defect Classification Based on Local Region Features and SVM

摘要：

　　The big differences of the texture and shapes in the same type and certain similarities among heterogeneous types result in the difficult classification of fabric defects.Compared with traditional global statistical method,we put up a new solution,which makes use of the fabric defect local region features to keep the defect property and defect classification by Support Vector Machines (SVM).Based on small-samples learning machine of SVM,we obtain a good performance of less computational load and high recognition rate.

关键词： fabric defect Gabor feature extraction SVM

作者: Yihong Li Zhaoyang Lu Jing Li Lingling Cui

作者单位: State Key Lab.of Integrated Service Networks,Xidian University,Xian 710071 ,China;College of Inform State Key Lab.of Integrated Service Networks,Xidian University,Xian 710071 ,China

会议类型: 国际会议

会议名称: 2012 International Applied Mechanics,Mechatronics Automation Symposium(2012应用力学,机电一体化自动化国际研讨会)(IAMMAS2012)

会议地点: 沈阳

会议语种:英文

页码: 634-638

在线出版日期: 2012-09-07（万方平台首次上网日期，不代表论文的发表时间）