基于机器视觉检测算法的织物疵点检测系统研究  

Research on Fabric Defect Detection System Based on Machine Vision Inspection Algorithm

作　　者：杨艳[1] 刘洲峰[1] 李春雷[1] 

机构地区：[1]中原工学院,郑州450007

出　　处：《中原工学院学报》2017年第4期36-39,85,共5页Journal of Zhongyuan University of Technology

基　　金：河南省高等学校重点科研项目(15A540011;15A510005)

摘　　要：为实现织物疵点的自动检测,设计了一种织物疵点检测系统。使用Matrox图像采集卡、Basler CCD相机及运动平台等构建了织物疵点检测系统的硬件部分。采用基于VC++2010并调用MIL9.0库函数的软件平台,结合改进的阈值分割算法实现了对织物图像的采集、预处理和疵点检测的软件设计。实验结果表明,该检测系统可较好地识别织物疵点。In order to realize the automatic detection of fabric defects,a development plan of fabric defect detection system is discussed.The hardware platform of the acquisition system is established by using Matrox image acquisition card,Basler CCD camera and moving platform.A software platform based on VC＋＋2010and called MIL9.0library function is adopted.Combined with the improved threshold segmentation algorithm,the software design of fabric image acquisition,preprocessing and defect detection are realized.The experimental results show that the fabric defect detection system can well realize the separation of fabric defects.

关 键 词：机器视觉 疵点检测 织物图像 阈值分割 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]