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In this paper, an image thresholding method based on Intuitionistic Type-2 Fuzzy Sets (InT2FS) method is introduced for the segmentation problems. Besides, intuitionistic type-2 fuzzy set has been formed as an extension of intuitionistic fuzzy set for handling uncertainty. As we know, the image data which usually contains noises or uncertainty so then utilizing the advantages of the InT2FS, we have...
An important problem in working with fuzzy sets is the correct construction of the membership functions that represent the objects of the system. Different experts construct different membership functions to represent the same object. In this paper, we construct an interval type-2 fuzzy set (IT2FS) with different fuzzy sets such that the length of the (membership) interval represents the uncertainty...
Entropy-based image thresholding has received considerable interest in recent years. It is an important concept in the area of image segmentation. The entropy-based approach was used to get the threshold of image from 80 ages; it is used to weight the amount of reserved information of image after segmentation. Our contribution in this paper, is to explain the idea of Shannon entropy and how he utilized...
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