NDLI: Neighborhood distance and its application in image fusion

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Neighborhood distance and its application in image fusion

Content Provider	IEEE Xplore Digital Library
Author	Heng-Jun Zhao Zhao-Wei Shang Bin Fang Yuan-Yan Tang
Copyright Year	2012
Description	Author affiliation: College of Computer Science, Chongqing University, Chongqing, 40030, China (Heng-Jun Zhao; Zhao-Wei Shang; Bin Fang) \|\| Department of Computer and Information Science, University of Macau, Macau, China (Yuan-Yan Tang)
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.
Starting Page	100
Ending Page	105
File Size	2322747
Page Count	6
File Format	PDF
ISBN	9781467315340
ISSN	21585695
e-ISBN	9781467315357
DOI	10.1109/ICWAPR.2012.6294762
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Laplace equations Directional neighborhood distance Discrete wavelet transforms Kernel Image surface curvature Surface treatment Image fusion
Content Type	Text
Resource Type	Article

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