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Developed based on the real - time computer vision metal material strain measurement system

Author: LiHang
Tutor: ZhangXiaoLing
School: University of Electronic Science and Technology
Course: Electronics and Communication Engineering
Keywords: Computer Vision Strain measurement Edge Detection Sub-pixel
CLC: TP274
Type: Master's thesis
Year: 2008
Downloads: 88
Quote: 0
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Abstract


In the tensile test of the metal material , the real-time online measurement variable is a basic measurement link, its accuracy is to determine the accuracy of one of the factors of the many performance of the test material . Metallic materials tensile test requirements for strain measurement and strain measurements of the tensile testing of metallic materials made ??a preliminary study of the non-contact measurement principle based on computer vision technology , and the development of a more complete set of visual measurement system , including its hardware structures and measurement software development . First non-contact measurement technology and strain measurement technology Research to determine the system uses computer vision monocular vision theory , followed by image acquisition , image processing, image recognition , system calibration , Asia pixel positioning content . The steady and rapid access to the image of the measured object , and characterized by clear , is the basis of visual inspection . After smoothing filter for image acquisition , the threshold segmentation preprocessing , image binary image . On this basis , through the edge detection and pattern recognition , the isolated line profile view of the analytes and extract the linear edge to be tested , this time , already achieve the rough positioning on the edge of the pixel level . In order to improve the measurement accuracy without increasing the hardware cost of the premise , the use of sub-pixel positioning technology , effectively improve the measurement accuracy of the system , the strain showing the value of the measurement uncertainty analysis . This article focuses on the edge detection , sub-pixel positioning technology and systems strain showing the value of the measurement uncertainty assessment methods , their methods seat after experimental verification optimal solution . Measurement system software under the Windows XP operating system , development tools, Borland Delphi , with the direction of the object - oriented programming was developed . The software is basic to achieve real-time measurement of non-contact metal tensile test strain .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system
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