DocumentCode
2857298
Title
Image thresholding techniques
Author
Chowdhury, Mahboob H. ; Little, Warren D.
Author_Institution
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
fYear
1995
fDate
17-19 May 1995
Firstpage
585
Lastpage
589
Abstract
In this paper a new image bi-thresholding method called “divergence-based thresholding” (DBT) is introduced. In this method an objective function for minimization is constructed using the divergence function between the two classes. The paper compares the new method with the classical discriminant analysis method of Otsu (1979) and the entropic method of Kapur et al. (1985)
Keywords
image classification; minimisation; classical discriminant analysis method; divergence-based thresholding; entropic method; image bi-thresholding method; image classification; image thresholding; minimization; objective function; Entropy; Histograms; Image converters; Minimization methods; Probability distribution; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-2553-2
Type
conf
DOI
10.1109/PACRIM.1995.519599
Filename
519599
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