Application of Image Enhancement Algorithm Based on Infrared Sensors in Simulation of Athlete Balance Ability

Abstract

Abstract Balance ability is crucial for athletes both in competitions and during training, and there are currently many groups that require specialized balance ability testing and training. Vision has a direct impact on an individual's balance ability, and using image enhancement algorithms and related technologies can assist in testing and training balance ability in different visual scenes. Therefore, this article takes the image enhancement algorithm based on infrared sensors as the research background and further designs a simulation detection system for athlete balance ability. After in-depth analysis of infrared sensor technology, this article summarizes the operating principle and characteristics of the sensor, with the aim of detecting the balance ability level of athletes. Based on the histogram distribution of low light images, this paper proposes a segmentation method that uses the distribution range as the standard proportion to maintain image contrast within a reasonable range and effectively improve its brightness. Based on the analysis of the results obtained, it was found that the algorithm proposed in this article has significant advantages and performs well in enhancing low light images of different types. Therefore, this article utilizes an image enhancement algorithm based on infrared sensor technology to design a simulation testing system for athlete balance ability, and verifies the effectiveness of the system.