Intuitionistic fuzzy set: FEEG image representation

Zenian, Suzelawati; Ahmad, Tahir; Idris, Amidora

doi:10.1063/1.5136486

Cited by 3 publications

(3 citation statements)

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“…In 2017, V. Magudeeswaran et.al presented a Contrast limited fuzzy adaptive histogram equalization to improve the contrast of MRI Brain images [17]. In 2019, S. Zenian et.al implemented an intuitionistic fuzzy set and fuzzy set, respectively, in the fEEG image by using intensification operator in enhancing the contrast of the image [18], [19].…”

Section: Introductionmentioning

confidence: 99%

Image Enhancement Method based on an Improved Fuzzy C-Means Clustering

Yang¹,

Zenian²,

Zakaria³

2022

IJACSA

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Image enhancement is an important method in the process of image processing. This paper proposes an image enhancement method base on an improved fuzzy c-means clustering. The method consists of the following steps: firstly, proposed a fuzzy c-means clustering with a cooperation center(FCM-co). Secondly, using the FCM-co, divide the image pixels into different clusters and marked membership values to those clusters. Thirdly, modify the membership values. Finally, calculate the new pixel gray levels. This enhancement method can overcome the disadvantage of overexposure and better retain image details. Through the experiment, the test results show that the proposed enhancement method could achieve better performance.

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Section: Introductionmentioning

confidence: 99%

Image Enhancement Method based on an Improved Fuzzy C-Means Clustering

Yang¹,

Zenian²,

Zakaria³

2022

IJACSA

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“…The aim of this work is to handle the uncertainty and improve the visibility of the clusters centres by using Intuitionistic Type-2 fuzzy set (IT2FS). The findings are compared with classical and fuzzy methods based on previous work by [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Application of Intuitionistic Type-2 Fuzzy Set on Flat EEG Image

Zenian¹

2022

Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022)

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“…The commonly used gray transformation method are composed by direct stretching, quadratic function, sine function, complex function, and other nonlinear functions [12][13][14][15][16][17][18][19][20]. Fuzzy set has been applied effectively in image enhancement [21][22][23][24][25][26][27]. Image enhancement is more and more widely used in various fields.…”

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confidence: 99%

An Image Enhancement Method Using Nonlinear Function

Yang

Zenian

Zakaria

2022

IJEER

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Image enhancement plays an important role in image processing. This paper proposed an image enhancement method using a nonlinear(exponential) function. Firstly, we use the exponential function to construct the gray transformation equation. Then, depending on the position of each pixel, the gray scale obtained by gray transformation is further adjusted based on the compression factor. In section 3, the comparative experiment shows that the proposed method could achieve good performance.

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Intuitionistic fuzzy set: FEEG image representation

Cited by 3 publications

References 1 publication

Image Enhancement Method based on an Improved Fuzzy C-Means Clustering

Image Enhancement Method based on an Improved Fuzzy C-Means Clustering

Application of Intuitionistic Type-2 Fuzzy Set on Flat EEG Image

An Image Enhancement Method Using Nonlinear Function

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