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Float glass defect intelligent recognition method

Author: HuLiang
Tutor: WeiZhiHua
School: Wuhan University of Technology
Course: Applied Computer Technology
Keywords: Feature Extraction Intelligent Recognition Wavelet packet Support Vector Machine
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 87
Quote: 1
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Abstract


Along with social progress and development, more and more glass industry plays an integral role in increasing demand as a material in the production process of its quality control is particularly important, it is not only only able to save costs and improve market competitiveness , better reflect national high-tech development of the state . The use of high-speed image acquisition technology , high-speed, high-precision defect detection algorithms and intelligent identification technology based on a combination of machine vision quality float glass line detection system , bringing the enterprise is not just a technical change in the absolute . The so-called intelligent recognition technology, is developing quite rapidly in today's field of scientific research , it is mainly the use of image feature extraction and classification combination of float glass extraction and classification of defects . Here we will discuss the following points of float glass defect detection system : ( 1 ) , image preprocessing, the image acquisition process because there will be noise , lighting and the like external influences , it is to conduct a preliminary pretreatment to eliminate these effects. ( 2 ) to study the wavelet packet, wavelet, wavelet moments and many feature extraction algorithm to find suitable glass feature extraction method . ( 3 ) by using support vector machine classification methods to verify the wavelet packet , wavelet and wavelet moments on the feature extraction results. ( 4 ) , on the float glass line defect detection system research, design system solutions will be more of the algorithm is applied to the system, which enable it to achieve .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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