A novel quality test method of electricity meter LCD Screen based on image processing

Abstract

In order to solve the problem of incorrect test on the LCD screen quality of smart electricity meter and to make its visual inspection item perfect, a novel quality test method based on image processing is put forward in this paper. First, a novel algorithm of self-learning fast template matching based on the sequential similarity detection algorithm is proposed. Then, how to synthesize characteristics of many templates into a standard template and how to establish a real-time and self-learning template library are described in detail. Finally, the sequential similarity detection algorithm is improved with adaptive threshold. The experiment results show that the proposed test method has higher efficiency and accuracy for smart electricity meter LCD screen quality testing. Therefore, it has great practical applications.