A Nighttime Monitoring System for Combined Structural Stability based on Infrared Image Recognition

Monitoring the combined structural stability under different scenario is an essential task for the security, hence, this paper designs the novel nighttime monitoring system for combined structural stability based on the infrared image recognition. Firstly, this study discusses the infrared image recognition algorithm considering the different features and methods. Then, the combined structural feature is discussed to further assist the processing of images. Finally, the nighttime monitoring system is implemented with the designed image processing algorithm. The proposed model utilizes the SURF algorithm to select the features. Based on the integral image, the SURF algorithm uses the Hessian operator to detect and obtain feature points. Through the testing, the performance before and after the processing for the original image is presented. And through the analysis on ratio of the number of correctly tested samples, the model is proven to be effective.