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

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.