CT Image Segmentation Using Optimization Techniques under Neutrosophic Domain

Main Article Content

Doaa El-Shahat
Nourhan Talal
Jun Ye
Wen-Hua Cui

Abstract

In this paper, we introduce a hybrid technique between optimization algorithms and neutrosophic theory. This new hybridization can deal with uncertainties in brain computed tomography (CT) images in three different memberships very effectively. To prove the real-time application of this theory, a new segmentation method for brain CT medical images is presented. The grayscale medical image suffers from uncertainties and inconsistencies in the gray levels due to their bad luminance. The proposed technique addressed this problem by performing neutrosophic operations on gray levels based on the S membership function.

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How to Cite
El-Shahat, D., Talal, N., Ye, J., & Cui, W.-H. (2024). CT Image Segmentation Using Optimization Techniques under Neutrosophic Domain. Neutrosophic Systems With Applications, 16, 1-11. https://doi.org/10.61356/j.nswa.2024.16203
Section
Research Articles

How to Cite

El-Shahat, D., Talal, N., Ye, J., & Cui, W.-H. (2024). CT Image Segmentation Using Optimization Techniques under Neutrosophic Domain. Neutrosophic Systems With Applications, 16, 1-11. https://doi.org/10.61356/j.nswa.2024.16203