Infrared and visible images registration with adaptable local-global feature integration for rail inspection

Infrared Physics & Technology(2017)

Cited 46|Views11
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Abstract
•Registration and fusion of infrared and visible images for rail defect inspection.•Local and global information are integrated into a descriptor.•Adaptable weighting between local and global information.•Edge-guided speeded-up-robust-features (EG-SURF) to address this issue.•Local information is used to guide global information extraction.
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Key words
Rail inspection,Infrared and visible image registration,Local feature,Global feature
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