| 基于机器视觉的发动机表面缺陷检测技术 |
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| 引用本文： | 徐临洪,张桂梅,陈少平.基于机器视觉的发动机表面缺陷检测技术[J].计算机与现代化,2010(4):156-158,162. |
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| 作者姓名： | 徐临洪 张桂梅 陈少平 |
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| 作者单位： | 无损检测教育部重点实验室(南昌航空大学),江西,南昌,330063 |
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| 基金项目： | 江西省科技支撑计划重点项目(2009BGA00800);;教育部重点实验室开放基金项目(ZD200929005) |
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| 摘 要： | 发动机表面的缺陷检测是保证其使用安全性的重要手段。本文应用机器视觉技术实现发动机内表面缺陷的自动检测,用内窥镜采集发动机装药内表面的图像,结合图像特点,通过多次实验对比,选择中值滤波方法对图像进行滤波、Canny算子检测图像边缘,应用像素灰度的相似性和不连续性将缺陷从图像背景中分割出来,在此基础上,选取面积和周长特征作为缺陷判断依据,并将以上功能进行整合,设计缺陷自动检测系统。实验结果表明该方法在发动机内表面缺陷检测方面有较好的效果。
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| 关 键 词： | 机器视觉 发动机表面 缺陷检测 |
Detecting Engine's Surface Defects Based on Computer Vision |
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| XU Lin-hong,ZHANG Gui-mei,CHEN Shao-ping.Detecting Engine's Surface Defects Based on Computer Vision[J].Computer and Modernization,2010(4):156-158,162. |
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| Authors: | XU Lin-hong ZHANG Gui-mei CHEN Shao-ping |
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| Affiliation: | (Key Laboratory of Nondestructive Testing(Nanchang Hangkong University),Ministry of Education,Nanchang 330063,China) |
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| Abstract: | Defect detection of engine's surface is an important tool to ensure its safety in use.The existed defects detect method can't ensure engine's detect precision and the detect efficiency.A method for detecting engine's surface defects based on computer vision is proposed.Firstly,the images of engine's inner surface are collected by industry endoscope.The median filter is chosen to denoise and the Canny operator is employed to detect the image edge in terms of image characteristic and experiments comparison.Th... |
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| Keywords: | computer vision engine's surface defects detecting |
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