Title :
Multispectral image smoothing guided by global distribution of pixel values
Author :
Kitchen, Leslie ; Pietikainen, Matti ; Rosenfeld, Azriel ; Wang, Cheng-Ye
Author_Institution :
Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742
Abstract :
Multispectral images can be effectively smoothed by using the global distribution of pixel values to guide a local selective averaging process. After several iterations of this process, a typical image is virtually segmented into regions of constant value while significant edges in the image are preserved.
Keywords :
Complexity theory; Cybernetics; Humans; Maintenance engineering; Smoothing methods; Sociology; Statistics;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMC.1983.6313151
