基于Blob算法的织物疵点检测算法的研究  

Fabric Defect Detection Algorithm Based on Blob Algorithm

作　　者：石美红[1] 王文光[1] 

机构地区：[1]西安工程大学,陕西西安710048

出　　处：《现代电子技术》2010年第24期29-32,共4页Modern Electronics Technique

基　　金：陕西省科技厅:织物疵点在线自动检测系统核心技术项目(2008ZDKG-36)

摘　　要：针对布匹疵点检测算法高效性和准确性要求的不断提高的要求,提出了利用基于Blob分析算法对采集的织物图像进行疵点识别的方法。对图像中的目标疵点区域进行降噪、开闭运算、标记目标区域及二值化等大量仿真实验,得到相关疵点有效特征值,实验充分证明了Blob算法在疵点检测中实时性和准确性。For the high efficiency and accuracy requirement of fabric defect detection algorithm,the BLOB-based analysis algorithm is used to recognize defect of the captured fabric images.Some effective eigenvalue of relative defects can be gained through the simulation experiments of denoising the defect region,opening and closing operation,marking the target area and using the binary simulation.Experiments prove that the Blob algorithm is real-time and accurate in the defect detection.

关 键 词：疵点检测 Blob算法分析 标记识别 高速线阵CCD 

分 类 号：TN911-34[电子电信—通信与信息系统]