The variance entropy multi-level thresholding method

Abstract This paper proposes a new multi-level entropy-based image thresholding method. The key principle of the proposed method depends on the minimum of the variance entropy. The method is fully automated at all stages of implementation. It produces competitive segmentation results as compared to...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Kittaneh, Omar A. [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2023

Schlagwörter:

Variance Entropy

Truncated Distributions

Image Segmentation

Image Thresholding

Anmerkung:

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:

Enthalten in: Multimedia tools and applications - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995, 82(2023), 28 vom: 19. Apr., Seite 43075-43087

Übergeordnetes Werk:

volume:82 ; year:2023 ; number:28 ; day:19 ; month:04 ; pages:43075-43087

Links:

Volltext

DOI / URN:

10.1007/s11042-023-15250-y

Katalog-ID:

SPR053562704

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