钢丝绳芯输送带X射线检测系统图像分析算法 |
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引用本文: | 朱平,胡鹏,孙健.钢丝绳芯输送带X射线检测系统图像分析算法[J].工矿自动化,2014(3). |
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作者姓名: | 朱平 胡鹏 孙健 |
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作者单位: | 中煤科工集团重庆研究院有限公司;中国科学院自动化研究所; |
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摘 要: | 提出了一种在线分析和离线分析相结合的图像分析算法:在线分析阶段采用支持向量机检测出接头图像,采用显著图法检测出有损伤的输送带图像;离线分析阶段采用细化、区域分析等图像处理方法检测接头抽动,并对各种损伤情况进行分类。该算法使得检测系统具备针对输送带X图像实时分析的能力,而且损伤检测准确率非常高。实验分析和现场实践验证了本文所提算法的有效性。
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关 键 词: | 钢丝绳芯输送带 X射线检测 图像分析 支持向量机 显著图法 损伤分类 |
Image analysis algorithm of X-ray detection system for conveyor belt with steel rope core |
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Abstract: | A kind of image analysis algorithm combining on-line analysis and off-line analysis was proposed:SVM was adopted to detect conjunctions images,and saliency map was used to check image of damaged belt during on-line analysis phase;Image processing methods such as thinning and regional analysis were used to detect joints twitching and classify a variety of injuries during off-line analysis phase. The conveyer belt detection system could analyze X image of conveyor belt in real time and detect damage accurately via applying these algorithms.The experiments and field deployments verify effectiveness of the proposed image analysis algorithm. |
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Keywords: | conveyor belt with steel rope core X-ray detection image analysis SVM saliency map damage classification |
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