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毕业论文《玻璃瓶瑕疵自动检测系统》.doc

发布:2017-10-13约字共23页下载文档
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玻璃瓶瑕疵自动检测系统 摘 要 本课题是研究玻璃瓶瑕疵自动检测系统,针对玻璃瓶检测的高速度、高精度、实时性的特点,本文主要利用数字图像处理技术及其方法研究一套玻璃瓶瑕疵检测系统,利用该检测系统提供的一些数字图像处理方法可以决速准确的判断出该图像是否为缺陷图像。利用该检测系统所应用的技术设计出来的系统不受主观因素的影响,能快速、准确地检测产品,完成人工无法完成的检测任务,是现代化生产中不可缺少的工具。 本文详细地介绍了图像处理技术,验证了多种图像检测算法,我们提出了一种基于混合滤波器缺陷检测算法,并从理论和实验两方面对检测效果做了评价。论文分析了各种模式识别方法,提出了玻璃瓶缺陷检测的具体方案。方案利用聚类算法来提取缺陷,通过对缺陷特征的分析来识别玻璃瓶的好坏。 本系统的主要部分由CCD摄像机、图像采集卡和微型计算机组成。CCD摄像机采集玻璃瓶图像,图像采集卡把玻璃瓶图像转换成计算机能识别和处理的数字图像,再通过计算机上的软件完成缺陷检测功能。检测系统在实验阶段的检测精度已达到设计要求,较成功地实现了玻璃瓶缺陷的检测,能用于检测玻璃瓶的裂痕、气泡等缺陷。 关键词:图像处理 缺陷 图像分割 模式识别 特征提取 Abstract This paper studies the glass bottle defect detection system, for the high-speed, high precision and real-time features of glass bottle detection,this paper mainly uses the technologies and methods of digital image processing to research and develop a glass-crack inspecting system.We can judge whether the image is a crack or not from the digital image processing methods that the inspecting system applies us.The detection system, which designed with this technique, won’t be influenced by subjective factors. It can detect the product fleetly and accurately that the human can’t do. It is an indispensable tool in modernization production. This paper introduces image processing technique detailedly.Demonstrating a variety of image detection algorithm, we propose a defect detection algorithm based on hybrid filter, and have evaluated the testing results from both theory and experiment.The paper analyses a variety of pattern identification technique and raises a specific scheme for the detection of the glass bottle blemish. The scheme uses the clustering arithmetic to distill blemish, and identifies the glass bottle by analyzing the character of blemish. This system’s hardware is mainly composed of CCD camera, image capture card and computer. The image of glass bottle is collected by CCD camera, and turned to digital images that can be identified with computer by image capture card, and identify glass bottles’ blemish with the software in the computer. The
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