基于图像识别的移动增强现实技术在智慧旅游中的应用  

Application of Image Recognition Based Mobile Augmented Reality Technology in Smart Tourism

作　　者：张海霞 廖绍雯[1] ZHANG Haixia;LIAO Shaowen(HeXi University,Zhangye Gansu 734000,China)

机构地区：[1]河西学院,甘肃张掖734000

出　　处：《自动化与仪器仪表》2024年第8期121-125,共5页Automation & Instrumentation

基　　金：甘科计[2021]4号《基于图像分析的玉米叶部病虫害快速检测与识别研究》(20JR10RG307)。

摘　　要：为探讨基于图像识别的移动增强现实技术在智慧旅游中的应用效果,研究结合高斯滤波和多阈值局部二值模式算法,构建多特征融合图像识别算法。随后,研究结合移动增强现实技术,设计出一种智慧旅游系统。数据显示,原始图像信息熵为6 bit~10 bit时,相比于局部二值模式算法,多特征融合算法将图像信息熵提升了约5.5 bit,识别准确率提升了15.1%。智慧旅游系统应用中,用户满意度为89.3分,系统有效性为88.6分。结果表明,基于图像识别的移动增强现实技术在智慧旅游中具有较高的识别准确率和用户满意度,能够有效提高旅游体验和服务质量,为智慧旅游领域提供了有益的理论和实践参考。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 satisfaction in smart tourism,which can effectively improve the tourism experience and service quality,providing useful theoretical and practical references for the field of smart tourism.

关 键 词：移动增强现实 智慧旅游 图像识别 语音识别 人机交互 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]