DocumentCode
1299338
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
Issue
4
fYear
1983
Firstpage
626
Lastpage
631
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;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9472
Type
jour
DOI
10.1109/TSMC.1983.6313151
Filename
6313151
Link To Document