CT Image Segmentation Using Optimization Techniques under Neutrosophic Domain
Journal Title: Neutrosophic Systems with Applications - Year 2024, Vol 16, Issue 1
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.
Authors and Affiliations
Doaa El-Shahat, Nourhan Talal, Jun Ye, Wen-Hua Cui
Keywords
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- EP ID EP734213
- DOI https://doi.org/10.61356/j.nswa.2024.16203
- Views 65
- Downloads 0
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