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一种基于OpenCV的织物疵点检测方法
引用本文:陆趣趣,陈传克,徐晓龙,虞佳,贾小军.一种基于OpenCV的织物疵点检测方法[J].丝绸,2010(4).
作者姓名:陆趣趣  陈传克  徐晓龙  虞佳  贾小军
作者单位:嘉必学院,数学与信息工程学院,浙江,嘉兴,314001
基金项目:浙江省教育厅大学生科技创新项目,嘉兴市科技局项目 
摘    要:在织物疵点自动检测开发中,传统的图像处理代码编写繁琐、效率不高.OpenCV具有较强的图像处理能力且提供了丰富的图像处理函数,可以把OpenCV运用到织物疵点检测上.以断经、纬疵样本为例,提出在OpenCV环境下采用阈值分割提取疵点图像,利用形态学技术实现噪点分离及断线连接.边缘检测实现了疵点图像在原图像中的准确定位.实验结果表明,OpenCV有简化代码、提高编程效率的图像处理强大功能,疵点检测结果准确,效率高.

关 键 词:疵点检测  阈值分割

A Method of Fabric Defects Detection Based on OpenCV
LU Qu-qu,CHEN Chuan-ke,XU Xiao-long,YU Jia,JIA Xiao-jun.A Method of Fabric Defects Detection Based on OpenCV[J].Silk Monthly,2010(4).
Authors:LU Qu-qu  CHEN Chuan-ke  XU Xiao-long  YU Jia  JIA Xiao-jun
Affiliation:LU Qu-qu,CHEN Chuan-ke,XU Xiao-long,YU Jia,JIA Xiao-jun(College of Mathematics , Information Engineering,Jiaxing College,Jiaxing 314001,China)
Abstract:In the fabric defects automatic detection development,traditional image processing code compilation is tedious and inefficient.OpenCV has powerful image processing ability and providing rich image processing functions,which may be utilized to process fabric defects detection.This paper took broken end,irregular pick fabric as the examples.Under OpenCV environment,using the thresholding segmentation to extract fabric defects image.Morphological techniques can remove noise pixels and connect broken lines.Edge...
Keywords:OpenCV
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