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Neighborhood distance and its application in image fusion
HENG-JUN ZHAO1; ZHAO-WEI SHANG1; BIN FANG1; YUAN-YAN TANG2
2012-10-29
Conference Name2012 International Conference on Wavelet Analysis and Pattern Recognition
Source PublicationProceedings of the 2012 International Conference on Wavelet Analysis and Pattern Recognition
Pages100-105
Conference Date15-17 July 2012
Conference PlaceXian
CountryChina
PublisherIEEE
Abstract

In this paper, we propose the directional neighborhood distance and all-directional neighborhood distance (ADND) to measure the gray value variation between pixels in specific and all direction. The all-directional neighborhood distance is used to fuse multi-source images, and our experiments show that the proposed fusion method is effective in term of some objective evaluation indexes, such as spatial frequency, average gradient, etc. 

KeywordDirectional Neighborhood Distance Image Fusion Image Surface Curvature
DOI10.1109/ICWAPR.2012.6294762
URLView the original
Indexed BySCIE
Language英語English
Scopus ID2-s2.0-84867809951
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.College of Computer Science, Chongqing University, Chongqing, 40030, China
2.omputer aDepartment of Cnd Information Science, University of Macau, Macau, China
Recommended Citation
GB/T 7714
HENG-JUN ZHAO,ZHAO-WEI SHANG,BIN FANG,et al. Neighborhood distance and its application in image fusion[C]:IEEE, 2012, 100-105.
APA HENG-JUN ZHAO., ZHAO-WEI SHANG., BIN FANG., & YUAN-YAN TANG (2012). Neighborhood distance and its application in image fusion. Proceedings of the 2012 International Conference on Wavelet Analysis and Pattern Recognition, 100-105.
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