Residential College | false |
Status | 已發表Published |
Neighborhood distance and its application in image fusion | |
HENG-JUN ZHAO1; ZHAO-WEI SHANG1; BIN FANG1; YUAN-YAN TANG2 | |
2012-10-29 | |
Conference Name | 2012 International Conference on Wavelet Analysis and Pattern Recognition |
Source Publication | Proceedings of the 2012 International Conference on Wavelet Analysis and Pattern Recognition |
Pages | 100-105 |
Conference Date | 15-17 July 2012 |
Conference Place | Xian |
Country | China |
Publisher | IEEE |
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. |
Keyword | Directional Neighborhood Distance Image Fusion Image Surface Curvature |
DOI | 10.1109/ICWAPR.2012.6294762 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
Scopus ID | 2-s2.0-84867809951 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | University of Macau |
Affiliation | 1.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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