【作者】 夏冬升；

【导师】 汪军；

【作者基本信息】 东华大学 ， 纺织工程， 2006， 硕士

【摘要】 在纺织品生产中,验布是质量控制的一个重要环节。迄今为止,传统的验布都是由人工来完成的,由于人工验布是一种单调、乏味且繁重的劳动,验布人员的验布能力还受到工作环境、自身生理和心理等因素的影响,故人工验布结果受到验布人员主观的影响较大,且验布的速度比较慢。随着计算机和图像处理技术的发展,计算机视觉越来越多地被应用于工业生产,基于计算机视觉的自动验布已成为人们关注的热点。 本文在基于小波变换的疵点自动检测即假设疵点已检测出的基础上,探讨应用图像处理技术自动评定织物等级,具体研究内容如下: 1.探讨了应用图像处理技术对织物疵点进行分割表征。首先使用均值滤波器模糊织物纹理组织,其次使用Sobel算子检测疵点边缘,对边缘检测后的图像灰度直方图进行局部放大,得到分割门限,然后对分割后的疵点图像进行二值形态学处理去除噪声点,最后得到准确的疵点二值图像。从而可以从疵点二值图像中提取特征值来表征疵点。 2.制定了疵点自动评分规则和布卷自动评等规则。根据小波自动检测疵点和图像处理分割疵点的特点,参考人工验布规则,制定了自动评分和评等规则。 3.初步建立在小波自动检测疵点的基础上,应用图像处理技术分割疵点的织物等级自动评定系统的软件,并用Microsoft Access 2000数据库和Microsoft Visual Basic6.0对系统进行了实现。 通过研究得到如下的结论: 1.由疵点检测、疵点分割表征和疵点评分与布卷评等三个主要部分构成的基于计算机视觉的织物疵点自动评定系统从原理上是可行的,实践也证实了其正确性和实用性。 2.通过对竹节、粗经、双经、断经、双纬、脱纬、纬缩、吊经、稀纬、杂物、破洞、油污等常见的十二种疵点进行分割表征试验,并与人工表征比较,更多还原

【Abstract】 In the whole process of fabric manufacturing, fabric inspection is an important procedure. So far, the traditional fabric inspection is completed manually, which is a dull, tedious and tiring work. The result is easily influenced by the inspector’s ability, his mentality condition and his physiological state, meanwhile, it is inefficient. With the development of computer and digital image processing technique, the computer vision is more and more frequently applied in industrial production. The computer vision-based automatic fabric inspection has become one of the research focuses.Based on wavelet transform-based automatic fabric defects detection, namely defects have been detected, with image processing technique, the automatic fabric grading is discussed, the specific contents are as follows.1. With image processing technique, the defect segmentation and characterizing are discussed. Firstly, the regular texture on fabric surface is smoothed with medial filter, secondly, the defect edge is inspected with Sobel operator, and then, by magnifying the image gray histogram, the threshold is found to segment defects, finally, the exact defect binary images are gotten using morphology processing to remove noise points around defect. By computing defect binary images to extract feature parameters, defects are characterized.2. The rules of automatic defect assessment and fabric grading are made. Based on the characteristic of wavelet transform-based automaticdefects detection and of defects segmentation with image processing technique, the rules of automatic fabric inspection are made according manual rules.3. Based on wavelet transform-based automatic defect detection and defect segmentation with image processing technique, the software of automatic fabric grading is established primarily, and carried out with Microsoft Access 2000 and Microsoft Visual Basic 6.0.We got conclusions as follows.1. The automatic fabric grading system is abstractly feasible, which is composed of three parts: defects detection, defects segmentation and characterizing, defects assessment and fabric grading. It is also proved correct and practical in practice.2. The automatic segmentation, characterizing and assessment results of some typical defects yielding during routine weaving process are reported, such as coarse end, missing end, double warp, double pick, taped filling, open setting, slub yarn, gout, fabric hole, oiled defect, weft kinks, tight thread and etc. The experimental results show that these typical defects can be segmented and characterized correctly with image processing technique discussed in this paper.3. For those defects, which are identified as the same type in manual and automatic rules, the automatic defect assessment rules are the same as manual, for those defects, which are identified as the different type, new rules are made according to manual. The defects, which are identified as the different type, are assessed with automatic rules and manual rules respectively, the experimental results show that, with automatic rules made in this paper, defects can be assessed in accord with manual rules basically.4. Using the automatic fabric grading software, the defects are segmented and assessed, the fabric is graded. The experimental resultsshow that, the technique of automatic fabric grading discussed in this paper is practical.更多还原