DocumentCode :
1207302
Title :
Entropy: a new definition and its applications
Author :
Pal, Nikhil R. ; Pal, Sankar K.
Author_Institution :
Electron. & Commun. Sci. Unit, Indian Stat. Inst., Calcutta, India
Volume :
21
Issue :
5
fYear :
1991
Firstpage :
1260
Lastpage :
1270
Abstract :
Shannon´s definition of entropy is critically examined and a new definition of classical entropy based on the exponential behavior of information gain is proposed along with its justification. The concept is extended to defining the global, local, and conditional entropy of a gray-level image. Based on these definitions four algorithms for object extraction are developed. One of these algorithms uses a Poisson distribution-based model of an ideal image. A concept of positional entropy giving any information regarding the location of an object in a scene is introduced
Keywords :
entropy; information theory; pattern recognition; picture processing; Poisson distribution-based model; conditional entropy; entropy; exponential behavior; global entropy; gray-level image; image extraction; information gain; information theory; local entropy; pattern recognition; picture processing; positional entropy; Cybernetics; Data mining; Entropy; Gain measurement; Histograms; Image processing; Image segmentation; Layout; Measurement uncertainty; Pattern recognition;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.120079
Filename :
120079
Link To Document :
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