直观的2型模糊集图像阈值分割方法

2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2013-12-01 DOI:10.1109/SOCPAR.2013.7054128

Tarn Van Nghiem, D. Nguyen, L. Ngo

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引用次数: 4

摘要

本文提出了一种基于直觉型2型模糊集(InT2FS)方法的图像阈值分割方法。此外，还形成了直觉2型模糊集，作为处理不确定性的直觉模糊集的扩展。正如我们所知，图像数据通常包含噪声或不确定性，因此利用InT2FS的优点，我们引入了一种使用InT2FS进行图像阈值分割的算法。不同类型图像的实验结果表明，该算法在处理噪声图像时优于传统的阈值分割算法。

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Intuitionistic type-2 fuzzy set approach to image thresholding

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 introduced a thresholding algorithm using InT2FS for image thresholding. Experimental results with different types of images show that the proposed algorithm is better than the traditional thresholding algorithms especially with noisy images.

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2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)

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