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.
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