Threshold selection based on type-2 fuzzy 2-partition entropy approach

摘要

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.