New ACO algorithm for image edge detection

Ant Colony Optimization (ACO) is a metaheuristic based on real behavior of ants to solve optimization problems. Edge detection plays an important role in image processing. It consists in detecting edges or contours in images which allows to extract information from them. An ACO algorithm to edge det...

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Detalles Bibliográficos
Autores principales:	Martínez, C.A., Buemi, M.E.
Formato:	CONF
Materias:	Algorithms Ant colony optimization Artificial intelligence Image processing Optimization Pattern recognition ACO algorithms Ant Colony Optimization (ACO) Computational time Extract informations Image edge detection Knowledge information Metaheuristic Optimization problems Edge detection
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_NIS23923_v2014_n4_p_Martinez
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_NIS23923_v2014_n4_p_Martinez
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spelling	todo:paper_NIS23923_v2014_n4_p_Martinez2023-10-03T16:46:26Z New ACO algorithm for image edge detection Martínez, C.A. Buemi, M.E. Algorithms Ant colony optimization Artificial intelligence Image processing Optimization Pattern recognition ACO algorithms Ant Colony Optimization (ACO) Computational time Extract informations Image edge detection Knowledge information Metaheuristic Optimization problems Edge detection Ant Colony Optimization (ACO) is a metaheuristic based on real behavior of ants to solve optimization problems. Edge detection plays an important role in image processing. It consists in detecting edges or contours in images which allows to extract information from them. An ACO algorithm to edge detection is proposed. Using heuristic and knowledge information and applying an improvement operator, binary images including edges detected are obtained. The algorithm was tested with several images (real and synthetic, with and without presence of noise). The results reached were competitive in terms of quality of images and required computational time. © The Institution of Engineering and Technology 2014. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_NIS23923_v2014_n4_p_Martinez
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Algorithms Ant colony optimization Artificial intelligence Image processing Optimization Pattern recognition ACO algorithms Ant Colony Optimization (ACO) Computational time Extract informations Image edge detection Knowledge information Metaheuristic Optimization problems Edge detection
spellingShingle	Algorithms Ant colony optimization Artificial intelligence Image processing Optimization Pattern recognition ACO algorithms Ant Colony Optimization (ACO) Computational time Extract informations Image edge detection Knowledge information Metaheuristic Optimization problems Edge detection Martínez, C.A. Buemi, M.E. New ACO algorithm for image edge detection
topic_facet	Algorithms Ant colony optimization Artificial intelligence Image processing Optimization Pattern recognition ACO algorithms Ant Colony Optimization (ACO) Computational time Extract informations Image edge detection Knowledge information Metaheuristic Optimization problems Edge detection
description	Ant Colony Optimization (ACO) is a metaheuristic based on real behavior of ants to solve optimization problems. Edge detection plays an important role in image processing. It consists in detecting edges or contours in images which allows to extract information from them. An ACO algorithm to edge detection is proposed. Using heuristic and knowledge information and applying an improvement operator, binary images including edges detected are obtained. The algorithm was tested with several images (real and synthetic, with and without presence of noise). The results reached were competitive in terms of quality of images and required computational time. © The Institution of Engineering and Technology 2014.
format	CONF
author	Martínez, C.A. Buemi, M.E.
author_facet	Martínez, C.A. Buemi, M.E.
author_sort	Martínez, C.A.
title	New ACO algorithm for image edge detection
title_short	New ACO algorithm for image edge detection
title_full	New ACO algorithm for image edge detection
title_fullStr	New ACO algorithm for image edge detection
title_full_unstemmed	New ACO algorithm for image edge detection
title_sort	new aco algorithm for image edge detection
url	http://hdl.handle.net/20.500.12110/paper_NIS23923_v2014_n4_p_Martinez
work_keys_str_mv	AT martinezca newacoalgorithmforimageedgedetection AT buemime newacoalgorithmforimageedgedetection
_version_	1782023896519671808

New ACO algorithm for image edge detection

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