基于cmos机器视觉的圆筒形零件尺寸检测系统分析word格式论文.docxVIP

基于cmos机器视觉的圆筒形零件尺寸检测系统分析word格式论文.docx

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基于cmos机器视觉的圆筒形零件尺寸检测系统分析word格式论文

优秀毕业论文 精品参考文献资料 Research of The size of The Cylindrical Parts Based on CMOS Machine Vision detecting system Abstract Machine vision technology as its fast speed, large amount of information, can be automated, multifunction features are widely used in various fields. Visual inspection instead of the human eye to complete production line product testing, it can greatly reduce testing costs, improve measurement speed and efficiency, is a research hot spot in recent years the field of industrial inspection. In accordance with the requirements of a project, a cylindrical part trapezoidal groove and small through-hole size is difficult to measure by conventional methods, innovative use of machine vision technology to achieve automatic measurement of part size detection, the paper mainly studies the following: This article is based on a project: automated detection of multiple dimensions of the cylindrical parts, the use of machine vision systems to achieve the testing requirements. Firstly the design according to the detected content of the overall structure of the entire system, for each hardware part carried out a select and complete the hardware part of the structures, including the imaging head, a light source such as the choice for selection of the hardware part, the design of the lighting system through comparison of different lighting solutions lighting solutions chosen for the system; visual inspection system based on LabVIEW software development platform, image processing is the use IMAQ Vision vision kit complete. Key technology for detecting contents of this article, the research and analysis of image processing, through theoretical analysis and experimental verification, the image processing suitable for the size of the groove width of the circular hole area: image acquisition after the first filter processing is performed on the photographed image, a single threshold segmentation, mathematical morphology operation and edge detection to obtain a clear image e

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