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。
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.
出处
《工矿自动化》
北大核心
2014年第3期38-41,共4页
Journal Of Mine Automation
