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计算机系统应用英文版:2015,24(3):197-201
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基于机器视觉的织物经线偏移检测方法
(1.中北大学 机械与动力工程学院, 太原 030051;2.宁波大红鹰学院 信息工程学院, 宁波 315000)
Fabric Meridian Offset Detection Method Based on Machine Vision
(1.School of Mechanical and Power Engineering, North University of China, Taiyuan 030051, China;2.Information Engineering, Ningbo Dahongying University, Ningbo 315000, China)
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Received:July 03, 2014    Revised:September 02, 2014
中文摘要: 针对我国印染行业一直以来人工扒幅退捻, 工效低, 劳动强度大的难题, 提出了基于机器视觉的经线偏移的检测方法, 大大提高退捻效率与精度. 利用CCD摄像机获取织物的图像, 对获取的图像进行Blob分析, 分析的主要流程包括: 图像的提取, 分割图像(初始分割、形态学处理等), 特征提取. 通过实验表明, 该方法可以检测出经线的偏移的角度, 且有很高精度, 可用于立式退捻开幅机.
Abstract:To deal with the problems like artificial steak untwisting, the low work efficiency and labor intensity in printing and dyeing industry in our country, meridian skew detection method based on machine vision is proposed. It greatly improves the efficiency of untwisting and precision. By using a CCD camera to obtain images of the fabric, the system uses the obtained images for Blob analysis. The analysis of the main process includes the extraction of image, image segmentation(the initial segmentation, morphology processing, etc.), and feature extraction. Experiments show that the method can detect the warp of skew, and has very high precision, can be used for vertical untwisting of machine.
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程建豪,祝锡晶,田思,李永平.基于机器视觉的织物经线偏移检测方法.计算机系统应用,2015,24(3):197-201
CHENG Jian-Hao,ZHU Xi-Jing,TIAN Si,LI Yong-Ping.Fabric Meridian Offset Detection Method Based on Machine Vision.COMPUTER SYSTEMS APPLICATIONS,2015,24(3):197-201