Open AccessA New Measure of Fuzzy Directed Divergence and Its Application in Image Segmentation
Author(s) -
Pradeep Kumar Bhatia,
Surender Singh
Publication year - 2013
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2013.04.08
Subject(s) - divergence (linguistics) , measure (data warehouse) , computer science , fuzzy logic , artificial intelligence , segmentation , pattern recognition (psychology) , image (mathematics) , image segmentation , ideal (ethics) , computer vision , mathematics , data mining , philosophy , linguistics , epistemology
An approach to develop new measures of fuzzy directed divergence is proposed here. A new measure of fuzzy directed divergence is proposed, and some mathematical properties of this measure are proved. The application of fuzzy directed divergence in image segmentation is explained. The proposed technique minimizes the fuzzy divergence or the separation between the actual and ideal thresholded image.
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