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...

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Vydané v:Neutrosophic sets and systems Ročník 76; s. 500 - 519
Hlavní autori: Affe, Lorenzo, Nordo, Giorgio, Smarandache, Florentin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Neutrosophic Sets and Systems 01.03.2025
University of New Mexico
Predmet:
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
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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