红外技术2026，Vol.48Issue(8)：935-942,8.
基于优化Scharr算法的AR智能消防头盔设计
Augmented Reality Smart Firefighting Helmet Design Based on Optimized Scharr Algorithm
摘要
Abstract
This study addressed the current low level of intelligence in firefighting helmets,which fail to provide visual assistance to firefighters.Augmented reality(AR)was combined with infrared thermal imaging technology to design an intelligent firefighting helmet.Because thermal infrared images often suffer from blurring,this study explored the optimization of the Scharr edge detection algorithm to enhance the edge extraction of thermal infrared images,which could then be presented to firefighters via an AR display.The specific algorithm process included the use of Gaussian filtering to smooth the image and reduce the impact of noise on the subsequent edge detection,adding filtering in six directions(0°,45°,90°,135°,225°,and 315°)to the traditional Scharr operator,generating multiple edge images,and performing maximum value synthesis and normalization to ensure consistency and clarity of the edge information.The experimental results showed that the proposed algorithm meets the real-time and practical application requirements.Compared to the traditional Scharr algorithm,the proposed algorithm improved the structural similarity and feature similarity indices by 15%and 7.6%,respectively,and reduced the mean squared error by 3.3%.关键词
消防头盔/AR/热红外成像/边缘检测/Scharr算法Key words
firefighting helmets/augmented reality(AR)/infrared thermal imaging/edge detection/Scharr algorithm分类
信息技术与安全科学引用本文复制引用
李森,张佳轶,张程荣,尹玉茹,胡慧敏,田雨田..基于优化Scharr算法的AR智能消防头盔设计[J].红外技术,2026,48(8):935-942,8.基金项目
河南省高等学校青年骨干教师培养计划(2021GGJS094),河南省高等学校大学生创新创业训练计划项目(202410462076). （2021GGJS094）
