A Python Class for Neutrosophic Morphology

作     者：Affè, Lorenzo Nordo, Giorgio Smarandache, Florentin 

作者机构：MIFT Department – Mathematical and Computer Science Physical Sciences and Earth Sciences University of Messina Sant’Agata Messina98166 Italy Mathematics Physics and Natural Science Division University of New Mexico 705 Gurley Ave GallupNM87301 United States 

出 版 物：《Neutrosophic Sets and Systems》 (Neutrosophic Sets Syst.)

年 卷 期：2025年第76卷

页      面：500-519页

核心收录：

基　　金：This research was supported by Gruppo Nazionale per le Strutture Algebriche  Geometriche e le loro Applicazioni (G.N.S.A.G.A.) of Istituto Nazionale di Alta Matematica (INdAM) \u201DF. Severi\u201D  Italy 

主　　题：Python 

摘      要：In this work, we introduce a Python class, named NSmorph, developed to facilitate image manipulation through neutrosophic morphological operations. This innovative approach extends traditional image processing methods by leveraging the flexibility of neutrosophic logic to handle uncertainty, indeterminacy, and noise in digital images. The class offers implementations of essential morphological operators, such as neutrosophic dilation, erosion, opening, and closing, providing a robust tool for applications where image clarity is often compromised, like medical imaging and surveillance. We detail the class structure and functions and provide multiple examples to demonstrate its practical applications and comparative advantages over classical morphological methods. © 2025, University of New Mexico. All rights reserved.