A Python Class for Neutrosophic Morphology

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, indeter...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Neutrosophic sets and systems Ročník 76; s. 500 - 519
Hlavní autoři: Affe, Lorenzo, Nordo, Giorgio, Smarandache, Florentin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Neutrosophic Sets and Systems 01.03.2025
University of New Mexico
Témata:
Image processing
Medical imaging equipment
morphological image processing
neutrosophic morphology
neutrosophic set
python program ming
uncertainty in image analysis
Italy
ISSN:2331-6055, 2331-608X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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. Keywords: neutrosophic set; neutrosophic morphology; morphological image processing; Python programming; uncertainty in image analysis.
ISSN:2331-6055
2331-608X
DOI:10.5281/zenodo.14031689