Design of algorithms for video monitoring and state recognition system for complex equipments

Xiao-gang Yang, Chuan Li, Bin-wen Chen, Fei Meng, Zhaohui Xia
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Abstract

According to the technique requirements of a video monitoring and state recognition system for complex equipments, practical video image analysis and recognition algorithms are designed in this paper. Algorithms including dynamic registration of panel and precise adjustment of component based on Normalized Product Correlation (NPC), operation change detection based on Sobel edge strength dynamic analysis, multi-state component recognition based on Laplacian edge strength NPC matching, nixie tube reading based on NMI feature, meanwhile, the basic steps of these algorithms are given. The application experiments demonstrate the efficiency of the proposed algorithms.
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复杂设备视频监控与状态识别系统算法设计
根据复杂设备视频监控与状态识别系统的技术要求,设计了实用的视频图像分析与识别算法。给出了基于归一化积相关(NPC)的面板动态配准和组件精确调整算法、基于Sobel边缘强度动态分析的运行变化检测算法、基于拉普拉斯边缘强度NPC匹配的多状态组件识别算法、基于NMI特征的nixie管读取算法,并给出了这些算法的基本步骤。应用实验证明了所提算法的有效性。
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