| 基于机器视觉的整体中空复合材料低速冲击损伤程度表征 |
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| 引用本文： | 周红涛,孙洪刚.基于机器视觉的整体中空复合材料低速冲击损伤程度表征[J].玻璃钢/复合材料,2012(2):8-11. |
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| 作者姓名： | 周红涛 孙洪刚 |
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| 作者单位： | 1. 盐城纺织职业技术学院,江苏盐城,224005
2. 鲁银投资集团股份有限公司,山东济南,250001 |
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| 摘 要： | 本文运用机器视觉技术对整体中空复合材料受损程度进行了表征和分析。利用MATLAB软件对受损材料图像进行预处理、图像分割与特征提取、提取出特征值(受损图像的面积、周长等),进而分析低速冲击对整体中空复合材料损伤情况。结果表明,运用机器视觉技术可较为准确地衡量材料表面的受损情况,而且简单、快速、有效。
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| 关 键 词： | 低速冲击 机器视觉 数字图像处理 特征值 |
STUDY ON THE LOW-VELOCITY IMPACT DAMAGE CHARACTERIZATION OF HOLLOW INTEGRATED CORE SANDWICH COMPOSITES BASED ON MACHINE VISION |
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| ZHOU Hong-tao
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SUN Hong-gang.STUDY ON THE LOW-VELOCITY IMPACT DAMAGE CHARACTERIZATION OF HOLLOW INTEGRATED CORE SANDWICH COMPOSITES BASED ON MACHINE VISION[J].Fiber Reinforced Plastics/Composites,2012(2):8-11. |
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| Authors: | ZHOU Hong-tao SUN Hong-gang |
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| Affiliation: | 1.Yancheng College of Textile Technology,Yancheng 224005,China;2.Luyin Investment Group,Jinan 250001,China) |
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| Abstract: | In this paper,machine vision technique was used for analyzing the damaged surface of the hollow integrated sandwich composite.The digital graph was studied by MATLAB software,and the damage of hollow integrated sandwich composite was analyzed.This paper provides a more accurate measure of the damage surface,which is simple,fast and effective. |
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| Keywords: | low velocity impact machine vision digital image processing feature values |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
