| 快速Curvelet变换在实时机器视觉系统中的应用 |
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| 引用本文： | 田申,胡勇,廖俊必,黄丹平.快速Curvelet变换在实时机器视觉系统中的应用[J].电子科技大学学报(社会科学版),2009(4). |
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| 作者姓名： | 田申 胡勇 廖俊必 黄丹平 |
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| 作者单位： | 四川大学测量与控制工程系;四川理工学院; |
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| 基金项目： | 部级预研项目(402050101) |
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| 摘 要： | 机器视觉系统已成为现代工业生产生活中重要环节之一,为使机器视觉系统在螺钉自动分选机工作过程中能够达到稳定、实时地监测螺钉的头径、头杆等几何参数,该文应用Curvelet变换增强图像边缘以及检测稳定性,减少裂纹及划痕对边缘提取的影响,并使用MMX、SSE指令和IPP函数进行优化处理以提高图像处理速度。经实验验证,螺钉自动分选机机器视觉系统在工业应用中的图像处理速度可达25ms/帧、重复精度为8μm,达到了稳定、实时监测几何参数的要求。
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| 关 键 词： | 实践应用 视觉系统 快速Curvelet变换 实时系统 稳定性 |
Application of Fast Curvelet Transform in the Real-Time Machine Vision System |
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| TIAN Shen,HU Yong,LIAO Jun-bi, HUANG Dan-ping.Application of Fast Curvelet Transform in the Real-Time Machine Vision System[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2009(4). |
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| Authors: | TIAN Shen HU Yong LIAO Jun-bi HUANG Dan-ping |
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| Institution: | 1. Department of Measurement and Control;Sichuan University Chengdu 610065;2. Sichuan University of Science &Engineering Zigong Sichuan 643000 |
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| Abstract: | The key issues of machine vision system is the speed, accuracy and stability of image processing. To make the machine vision system of automatic screw-classifying devices to monitor the geometric parameters, the image edge and its detection stability are enhanced by the Curvelet transform and the speed of image processing is accelerated by the program optimized by MMX, SSE, and IPP functions. The application shows that the image processing speed of the system can reach 25 ms per frame with repeat accuracy o... |
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| Keywords: | applications computer vision fast Curvelet transform real time system stability |
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