Improvement of Machine Vision Recognition Method for Thermal Damage Area Image of Glass Curtain Wall Structure
To improve the accuracy of image recognition of thermal damage areas in glass curtain wall structures,a method based on improved machine vision for image recognition of thermal damage areas in glass curtain wall structures is proposed.Based on the principle of thermal wave propagation in glass curtain wall structure damage,a temperature transfer function and a probability model of thermal damage area in glass curtain wall structure are constructed.The improved machine vision is used to enhance the processing of thermal damage images in glass curtain wall structure,and combined with sharpening processing,the recognition of thermal damage images in glass curtain wall structure is achieved.The results show that the method proposed in the article identifies a significant difference in surface temperature between the damaged and normal areas of the glass curtain wall structure,and its changing trend is consistent with the actual situation of the glass curtain wall.It can identify images of thermal damage areas in the glass curtain wall structure;Under appropriate thermal excitation time,the accuracy of identifying thermal damage areas in glass curtain wall structures can be improved.
NETL
NSTL
万方数据
维普
