Application of Digital Image Analysis and Processing Technology in Basketball in the Era of Big Data

Abstract

With the continuous progress of the Internet, big data technology is more and more widely used in an era when data is growing exponentially every day. Now all industries are trying to use big data technology for production and operation in order to improve efficiency, and the basketball industry is no exception. The emergence of digital image analysis and processing technology has brought a great impact to the field of basketball. The images of basketball players during competition or training are obtained by using high-speed cameras or varistors. After the data processing of shooting hot zone distribution, singles success rate and other applications of statistical principles and data analysis technology, they are presented to coaches and athletes to scientifically improve the technical level of players. At the same time, digital image processing technology can also be used in the judgment of basketball examination or basketball game results. The background modeling algorithm based on pixel frequency and three frame difference algorithm are used to detect basketball targets, realize the judgment of basketball goals, and improve the accuracy and objectivity of basketball examination or basketball game results.