Title :
Matching of infrared and visible images
Author :
Li, Junshan ; Sun, Lihui ; Zhang, Shijie ; Yang, Wei ; Wang, Rui ; Geng, Zhi
Author_Institution :
Xi´´an Res. Inst. Of High-tech, Xi´´an, China
Abstract :
A new matching method based on improved Nonsubsampled contourlet transform (NSCT) is put forward to solve the problem of low matching precision in matching of infrared and visible images. Firstly, improved NSCT is introduced; then, improved NSCT disassembly is done; next, energy at each little region is calculated to compose circumcircle. Finally, the nearest adjacent matching is done to finish precise matching. Experimental results show that the algorithm is effective.
Keywords :
image matching; infrared imaging; transforms; improved NSCT disassembly; infrared image matching; low matching precision problem; nonsubsampled contourlet transform; precise matching; visible image matching; Algorithm design and analysis; Euclidean distance; Image matching; Robustness; Sun; Transforms; Vectors; Nonsubsampled contourlet transform; character vector; matching; the nearest adjacent matching;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234052