Medical image edge detection in the framework of quantum representations

The utilization of automated techniques for processing and analyzing medical images can offer significant support to doctors in their diagnostic and therapeutic practices. This study focuses on the complex task of detecting edges in medical images. To this end, we propose novel multilevel approaches...

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Main Authors: Ebtesam Al-Mansor, Mohammed Al-Jabbar, Anis Ben Ishak, S. Abdel-Khalek
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823007871
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author Ebtesam Al-Mansor
Mohammed Al-Jabbar
Anis Ben Ishak
S. Abdel-Khalek
author_facet Ebtesam Al-Mansor
Mohammed Al-Jabbar
Anis Ben Ishak
S. Abdel-Khalek
author_sort Ebtesam Al-Mansor
collection DOAJ
description The utilization of automated techniques for processing and analyzing medical images can offer significant support to doctors in their diagnostic and therapeutic practices. This study focuses on the complex task of detecting edges in medical images. To this end, we propose novel multilevel approaches based on quantum image representations of the one-dimensional and two-dimensional histograms of the gray-level distributions. The quantum Rényi entropy is employed to quantify the quantum information present in the two histogram types. The particle swarm optimization algorithm is utilized to identify the optimal threshold values. The performance of the proposed methods is evaluated by comparing them to benchmark methods using a set of medical images. The numerical results substantiate the efficacy of the introduced approaches.
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spelling doaj.art-558c85cc10524781ac137235d1cdf85f2023-10-15T04:36:46ZengElsevierAlexandria Engineering Journal1110-01682023-10-0181234242Medical image edge detection in the framework of quantum representationsEbtesam Al-Mansor0Mohammed Al-Jabbar1Anis Ben Ishak2S. Abdel-Khalek3Computer Sciences Department, Applied College, Najran University, Najran 66462, Saudi ArabiaComputer Sciences Department, Applied College, Najran University, Najran 66462, Saudi Arabia; Corresponding author.Department of Quantitative Methods, Higher Institute of Management, University of Tunis, Tunisia; University of Manouba, ESCT, QuARG UR17ES26, Campus Universitaire, 2010 Manouba, TunisiaMathematics Department, Faculty of Science, Sohag University, 82524 Sohag, EgyptThe utilization of automated techniques for processing and analyzing medical images can offer significant support to doctors in their diagnostic and therapeutic practices. This study focuses on the complex task of detecting edges in medical images. To this end, we propose novel multilevel approaches based on quantum image representations of the one-dimensional and two-dimensional histograms of the gray-level distributions. The quantum Rényi entropy is employed to quantify the quantum information present in the two histogram types. The particle swarm optimization algorithm is utilized to identify the optimal threshold values. The performance of the proposed methods is evaluated by comparing them to benchmark methods using a set of medical images. The numerical results substantiate the efficacy of the introduced approaches.http://www.sciencedirect.com/science/article/pii/S1110016823007871Edge detectionMedical imagesGray-level histogramsQuantum representationRényi entropyParticle swarm optimization
spellingShingle Ebtesam Al-Mansor
Mohammed Al-Jabbar
Anis Ben Ishak
S. Abdel-Khalek
Medical image edge detection in the framework of quantum representations
Alexandria Engineering Journal
Edge detection
Medical images
Gray-level histograms
Quantum representation
Rényi entropy
Particle swarm optimization
title Medical image edge detection in the framework of quantum representations
title_full Medical image edge detection in the framework of quantum representations
title_fullStr Medical image edge detection in the framework of quantum representations
title_full_unstemmed Medical image edge detection in the framework of quantum representations
title_short Medical image edge detection in the framework of quantum representations
title_sort medical image edge detection in the framework of quantum representations
topic Edge detection
Medical images
Gray-level histograms
Quantum representation
Rényi entropy
Particle swarm optimization
url http://www.sciencedirect.com/science/article/pii/S1110016823007871
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AT anisbenishak medicalimageedgedetectionintheframeworkofquantumrepresentations
AT sabdelkhalek medicalimageedgedetectionintheframeworkofquantumrepresentations