| 基于图像处理技术的铸坯表面缺陷自动检测系统的研究 |
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| 引用本文： | 熊志明,方康玲,冯知凡,苏志祁,张尉.基于图像处理技术的铸坯表面缺陷自动检测系统的研究[J].机械与电子,2010(12):38-41. |
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| 作者姓名： | 熊志明 方康玲 冯知凡 苏志祁 张尉 |
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| 作者单位： | 武汉科技大学信息科学与工程学院,湖北武汉430081 |
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| 摘 要： | 针对目前国内铸坯表面缺陷检测方法落后、检测效率低的情况,应用图像处理技术,设计了铸坯表面缺陷自动检测系统方案.研究了适合高温高辐射条件下的图像采集方案和算法,采用基于BP神经网络的模式识别方法对铸坯表面缺陷图像进行识别与分类,能够有效地提高铸坯质量管理.
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| 关 键 词： | 图像处理 表面缺陷 缺陷检测 BP神经网络 |
Study on Surface Defects Automated Inspection System for Casting Billet Based on Image Processing Technology |
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| XIONG Zhi-ming,FANG Kang-ling,FENG Zhi-fan,SU Zhi-qi,ZHANG Wei.Study on Surface Defects Automated Inspection System for Casting Billet Based on Image Processing Technology[J].Machinery & Electronics,2010(12):38-41. |
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| Authors: | XIONG Zhi-ming FANG Kang-ling FENG Zhi-fan SU Zhi-qi ZHANG Wei |
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| Affiliation: | (College of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China) |
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| Abstract: | Aim at the unreliable and low efficient method on billet inspection,this paper proposed an image processing approach to inspect billet surface defect automatically.This approach also proposed the image acquisition solution and the algorithm in the high temperature and high radiation environment.With BP neural network,the system can recognize and classify the billet surface defect automatically,improve the billet quality management effectively. |
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| Keywords: | image processing surface defect defect inspection BP neural network |
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