Sara Shahsavarani1, Fernando Lopez2, Clemente Ibarra-Castanedo1

  • 1Computer Vision and Systems Laboratory (CVSL), Department of Electrical and Computer Engineering, Faculty of Science and Engineering, Université Laval, Quebec City, QC G1V 0A6, Canada.

PubMed
概括

本研究引入了一种用于基础设施非破坏性评估 (NDE) 的新型红外和可见图像记录方法. 它通过融合互补数据来增强缺陷可视化,以精确地检测表面和地下缺陷.