Research on Anomaly Detection Technology of Video Image Based on OpenCV

In the process of daily operation and maintenance, the detection of abnormal video quality still mainly depends on manual subjective decision-making, which is difficult to meet the growing requirements of video service quantity and maintenance. RGB models and spatial domain algorithms are studied for automatically detecting image anomalies such as image loss, snowflake noise, and stripe noise. By using targeted algorithms, a large number of images are tested for the presence of several categories of video image quality anomalies. The efficiency and accuracy of the detection method were verified through experiments, and the corresponding conclusions are obtained.