Optimized Gabor Filter Parameters for Uniform Texture Flaw Detection
The problem of automated defect detection in uniform textured materials is investigated. A new approach for selecting Gabor filter parameters is proposed. The optimized odd symmetric Gabor filter is designed to match with the texture features of defect-free fabric image. The performance of the scheme is evaluated by using an offline test database with 60 uniform texture images. The experimental results exhibit accurate flaw detection with low false alarm. And the effectiveness and robustness of the proposed method are confirmed.
Liangzhong Fan Gangyi Jiang
Laboratory of Information and Optimization Technologies Ningbo Institute of Technology, Zhejiang Uni Faculty of Information Science and Engineering Ningbo University Ningbo, China
国际会议
The 2010 International Conference on Intelligent Systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)
杭州
英文
173-176
2010-11-15（万方平台首次上网日期，不代表论文的发表时间）