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A generalized entropy-based two-phase threshold algorithm for noisy medical image edge detection

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A generalized entropy-based two-phase threshold algorithm for noisy medical image edge detection

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Elaraby, A.; Moratal, D. (2017). A generalized entropy-based two-phase threshold algorithm for noisy medical image edge detection. Scientia Iranica. 24(6):3247-3256. doi:10.24200/sci.2017.4359

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/108351

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Title: A generalized entropy-based two-phase threshold algorithm for noisy medical image edge detection
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] Edge detection in medical imaging is a significant task for object recognition of human organs and is considered a pre-processing step in medical image segmentation and reconstruction. This article proposes an efficient ...[+]
Subjects: Image edge detection , Hill entropy , Thresholding , Canny edge detection , Medical imaging , Image analysis
Copyrigths: Reserva de todos los derechos
Source:
Scientia Iranica. (issn: 1026-3098 )
DOI: 10.24200/sci.2017.4359
Publisher:
Elsevier
Publisher version: http://doi.org/10.24200/sci.2017.4359
Thanks:
This work was supported in part by the Spanish Ministerio de Economia y Competitividad (MINECO) and by FEDER funds under Grant BFU2015-64380-C2-2-R.
Type: Artículo

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