Title :
Image thresholding techniques
Author :
Chowdhury, Mahboob H. ; Little, Warren D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
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;
Conference_Titel :
Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-2553-2
DOI :
10.1109/PACRIM.1995.519599
