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Infrared and visible images registration with adaptable local-global feature integration for rail inspection
Institution:1. School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK;2. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;3. School of Manufacturing Science and Engineering, Sichuan University, Chengdu 610065, China;4. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge UB8 3PH, UK;1. Sichuan University of Science and Engineering, Zigong, China;2. School of Electrical and Electronic Engineering, Newcastle University, UK;3. School of Manufacturing Science and Engineering, Sichuan University, China;4. School of Electronic and Information Engineering, Fuqing Branch of Fujian Normal University, China;1. School of Mechanical Engineering, Sichuan University, Chengdu 610065, China;2. Department of Vehicle Engineering, Army Academy of Armored Forces, Beijing 100072, China;1. School of Electronic Engineering, Xidian University, Xi’an 710071, China;2. Media Engineering Lab, Huawei Technologies, Shenzhen 518129, China;1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China;2. School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom
Abstract:
Keywords:Rail inspection  Infrared and visible image registration  Local feature  Global feature
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