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Silk-Screen Quality Surveillance System Base on Image Processing Technology
Author: ZhongJinRong
Tutor: LinJiaYu
School: National University of Defense Science and Technology
Course: Information and Communication Engineering
Keywords: Screen Printing Quality control Corner extraction Tilt correction Image Segmentation Target discrimination Template matching Euler number Endpoint Mathematical Morphology
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 24
Quote: 1
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Abstract
Screen printing usually refers to the the printed glyph industrial products , is an integral part of common industrial products , silk screen quality is an important factor affecting product quality . Traditional screen printing quality monitoring mainly rely on the naked eye , the high cost, low efficiency and poor reliability shortcomings . In this paper, the characteristics of the rapid development of image processing technology and screen printing , silkscreen quality monitoring system for a set of industrial products is designed and implemented . The paper elaborated on the overall design of the silk screen monitor system based on image processing , image preprocessing technology principle , algorithms , improvement and implementation , silk screen discriminant of the key technologies and algorithms to achieve , and a large number of experiments . The main work is as follows : using the PC platform and library provided by Microsoft Video for Windows (VFW) , set up a video capture and display system peripheral hardware and software framework , to achieve real-time acquisition , capture, convert image successfully grayscale images acquired for core processing . 2 on the basis of the research and compare the correlation algorithm to achieve a fast median filtering , Otsu binarization the index table thinning algorithm and deburring image preprocessing algorithm , and discuss how to choose different application environments these algorithms . 3 . Achieve improved SUSAN corner extraction algorithm . Slant correction algorithm based on feature points matching image tilt correction and image registration . 4 . Discriminant algorithm based Zhunou La number of characteristics and features based endpoint bidirectional relaxation matching discriminant algorithm , and two algorithms . 5 . In traditional grayscale template matching algorithm and mathematical morphology principles discussed on the basis of , mathematical morphology applied successfully to grayscale template matching , increase the distance between the template and matching stability achieved good effect. 6 . Achieve a complete set of prototype software system based on image processing silk screen quality monitoring system . After a lot of experiments and tests show that , silkscreen quality monitoring system has good error the silkscreen detection performance .
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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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