Automatic and Robust Infrared-Visible Image Sequence Registration via Spatio-Temporal Association

To solve the problems of the large differences in gray value and inaccurate positioning of feature information during infrared-visible image registration, we propose an automatic and robust algorithm for registering planar infrared-visible image sequences through spatio-temporal association. In part...

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Detalles Bibliográficos
Autores principales: Zhao, Bingqing, Xu, Tingfa, Chen, Yiwen, Li, Tianhao, Sun, Xueyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427182/
https://www.ncbi.nlm.nih.gov/pubmed/30813618
http://dx.doi.org/10.3390/s19050997

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427182/
https://www.ncbi.nlm.nih.gov/pubmed/30813618
http://dx.doi.org/10.3390/s19050997

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