Application of Image Recognition Based Mobile Augmented Reality Technology in Smart Tourism
To explore the application effect of image recognition based mobile augmented reality technology in smart tourism,a multi feature fusion image recognition algorithm is constructed by combining Gaussian filtering and multi threshold local binary pattern algorithm.Subsequently,research combined with mobile augmented reality technology to design a smart tourism system.The data shows that when the original image information entropy is 6-10 bits,compared to the local binary mode algorithm,the multi feature fusion algorithm increases the image information entropy by about 5.5 bits and improves the recognition accuracy by 15.1％.In the application of smart tourism system,the user satisfaction score is 89.3 points and the system effectiveness score is 88.6 points.The results indicate that mobile augmented reality technology based on image recognition has high recognition accuracy and user satisfac-tion in smart tourism,which can effectively improve the tourism experience and service quality,providing useful theoretical and prac-tical references for the field of smart tourism.
mobile augmented realitysmart tourismimage recognitionspeech recognitionhuman-computer interaction
万方数据
维普
