Neighborhood distance and its application in image fusion
Wavelet Analysis and Pattern Recognition（2012）
摘要
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.
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关键词
image fusion,adnd,all-directional neighborhood distance,average gradient,gray value variation,multisource image fusion,objective evaluation index,spatial frequency,directional neighborhood distance,image surface curvature,kernel,image analysis
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