A study on neutrosophic $$\mathscr {T}_{\textrm{1k}}$$ -semantic segmentation for iris image recognition with Gaussian and Poisson noises

A study on neutrosophic $$\mathscr {T}_{\textrm{1k}}$$ -semantic segmentation for iris image recognition with Gaussian and Poisson noises

Abstract In this article, we introduce an innovative methodology for image segmentation utilizing neutrosophic sets. Neutrosophic set components exhibit superior reliability in image processing due to their adeptness at managing uncertainty. The swift proliferation of neutrosophic sets research is a...

Full description

Saved in:
Bibliographic Details
Main Authors: Vinoth Dhatchinamoorthy, Ezhilmaran Devarasan, Asima Razzaque, Saima Noor
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Neutrosophic computer vision
Neutrosophic image processing
Neutrosophic segmentation
Iris recognition
Neutrosophic biometric
Semantic segmentation
Online Access:https://doi.org/10.1038/s41598-025-93743-6
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-93743-6

Similar Items