红外技术2024，Vol.46Issue(10)：1209-1217,9.
车载红外和可见光图像配准方法
Automotive Infrared and Visible Light Image Registration Method
摘要
Abstract
To enhance the visual perception of vehicles,an improved contour angle orientation(CAO)algorithm is proposed for the registration of infrared and visible light images in traffic scenes.By simulating different traffic scenarios,a performance comparison was conducted among mature algorithms to select the superior CAO algorithm.Subsequently,improvements were made to the coarse matching parameters and image preprocessing scaling procedure.Experiments demonstrate that the refined CAO algorithm achieves more precise fine matching,thus resulting in mosaic stitching with smoother transitions and lines and yielding better results.Compared with the original CAO algorithm,the improved version reduces the RMSE value by 3.29%,increases the precision value by 2.13%,and decreases the average computation time by 0.11 s,thereby demonstrating improvements in both registration accuracy and real-time performance.关键词
红外和可见光图像/图像配准/特征提取/轮廓角方向Key words
infrared and visible images/image registration/feature extraction/contour angle orientation分类
计算机与自动化引用本文复制引用
苏建彬,沈英,黄磊,沈元兴..车载红外和可见光图像配准方法[J].红外技术,2024,46(10):1209-1217,9.基金项目
国家自然科学基金(62005049). （62005049）
