Fabric Defect Detection Based on Open Source Computer Vision Library OpenCV

摘要：

A method for fabric defect detection based on OpenCV with rich computer vision and image processing algorithms and functions is presented. Firstly, OpenCV image processing functions implement fabric image preprocessing. We use morphological opening and closing operations to segment image because of their blur defects. Secondjy, seed filling algorithm is applied to connect broke lines to keep defect edge smoothing. Finally, the edge detection function is to complete accurate positioning defects. Experimental results under Borland C++ Builder 6.0 show that OpenCV based fabric defect detection methods are simple, high code integration, accurate defects positioning, which can be applied to develop real-time fabric defect detection system.

关键词： OpenCV fabric defect image processing morphology

作者: Xiaojun Jia

作者单位: College of Mathematics and Information Engineering, Jiaxing University Jiaxing, China, 314001

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 342-345

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）