Title :
Threshold selection based on type-2 fuzzy 2-partition entropy approach
Author :
Assas, Ouarda ; Benmedour, Fadila
Author_Institution :
Dept. of Comput. Sci., Univ. of M´sila, M´sila, Algeria
Abstract :
Thresholding is a fundamental task and a challenge for many image analysis and pre-processing process. The fuzzy 2-partition entropy approach for threshold selection is one of the best image thresholding techniques. In this work, a new thresholding method for image segmentation using type-2 fuzzy 2-partition entropy is presented. Type-2 fuzzy sets represent fuzzy sets with fuzzy membership values. The experiment results show that the proposed approach gives good segmentation.
Keywords :
fuzzy set theory; image segmentation; fuzzy membership value; fuzzy set representation; image analysis; image pre-processing process; image segmentation; image thresholding technique; threshold selection; type-two fuzzy two-partition entropy approach; Entropy; Fuzzy logic; Fuzzy sets; Histograms; Image segmentation; Pragmatics; Uncertainty; Entropy; Fuzzy Logic; Fuzzy c-partition; Segmentation; Thresholding; Type-2 Fuzzy Sets;
Conference_Titel :
Complex Systems (WCCS), 2014 Second World Conference on
Print_ISBN :
978-1-4799-4648-8
DOI :
10.1109/ICoCS.2014.7060943
