Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz

This paper presents a hybridization of Particle Swarm Optimization (PSO) and Fuzzy edge detector. The edge detector is used as the initial population and as the objective function. The purpose of hybridizing the algorithm is to create an optimized edge detector. Classical Fuzzy Heuristics (CFH) dete...

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Main Authors:	Abdul Khalid, Noor Elaiza, Manaf, Mazani, Aziz, Mohd Ezane
Format:	Article
Language:	English
Published:	Research Management Institute (RMI) 2009
Subjects:	Fuzzy logic Radiography
Online Access:	http://ir.uitm.edu.my/id/eprint/12916/ http://ir.uitm.edu.my/id/eprint/12916/1/AJ_NOOR%20ELAIZA%20ABDUL%20KHALID%20SRJ%2009%201.pdf

id	uitm-12916
recordtype	eprints
spelling	uitm-129162016-05-27T11:13:56Z http://ir.uitm.edu.my/id/eprint/12916/ Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz Abdul Khalid, Noor Elaiza Manaf, Mazani Aziz, Mohd Ezane Fuzzy logic Radiography This paper presents a hybridization of Particle Swarm Optimization (PSO) and Fuzzy edge detector. The edge detector is used as the initial population and as the objective function. The purpose of hybridizing the algorithm is to create an optimized edge detector. Classical Fuzzy Heuristics (CFH) detects thick edges. These thick edges need to be optimized to obtain a thin line. In this research the PSO is used to optimize the edge detection detected by the CFH algorithm and it is referred to as FHPSO. The test images are radiographs images of the metacarpal. These images have been used, because there is a need to detect strong and thin edges. Radiograph images are noisy in nature, which makes it difficult to measure the cortical thickness, the cortical outline of the inner cortical and outer cortical of the long tubular bone. The outer cortical edges are considered to be the strong edges due to high discontinuity values and the inner cortical edges are considered weak edges due to low their discontinuity values. The performance of FHPSO in detecting edges has been shown to be quite efficient. Research Management Institute (RMI) 2009 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/12916/1/AJ_NOOR%20ELAIZA%20ABDUL%20KHALID%20SRJ%2009%201.pdf Abdul Khalid, Noor Elaiza and Manaf, Mazani and Aziz, Mohd Ezane (2009) Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz. Scientific Research Journal, 6 (1). pp. 43-63. ISSN 1675-7009
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Fuzzy logic Radiography
spellingShingle	Fuzzy logic Radiography Abdul Khalid, Noor Elaiza Manaf, Mazani Aziz, Mohd Ezane Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz
description	This paper presents a hybridization of Particle Swarm Optimization (PSO) and Fuzzy edge detector. The edge detector is used as the initial population and as the objective function. The purpose of hybridizing the algorithm is to create an optimized edge detector. Classical Fuzzy Heuristics (CFH) detects thick edges. These thick edges need to be optimized to obtain a thin line. In this research the PSO is used to optimize the edge detection detected by the CFH algorithm and it is referred to as FHPSO. The test images are radiographs images of the metacarpal. These images have been used, because there is a need to detect strong and thin edges. Radiograph images are noisy in nature, which makes it difficult to measure the cortical thickness, the cortical outline of the inner cortical and outer cortical of the long tubular bone. The outer cortical edges are considered to be the strong edges due to high discontinuity values and the inner cortical edges are considered weak edges due to low their discontinuity values. The performance of FHPSO in detecting edges has been shown to be quite efficient.
format	Article
author	Abdul Khalid, Noor Elaiza Manaf, Mazani Aziz, Mohd Ezane
author_facet	Abdul Khalid, Noor Elaiza Manaf, Mazani Aziz, Mohd Ezane
author_sort	Abdul Khalid, Noor Elaiza
title	Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz
title_short	Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz
title_full	Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz
title_fullStr	Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz
title_full_unstemmed	Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz
title_sort	efficient edge detection using fuzzy heuristic particle swarm optimization / noor elaiza abdul khalid, mazani manaf and mohd ezane aziz
publisher	Research Management Institute (RMI)
publishDate	2009
url	http://ir.uitm.edu.my/id/eprint/12916/ http://ir.uitm.edu.my/id/eprint/12916/1/AJ_NOOR%20ELAIZA%20ABDUL%20KHALID%20SRJ%2009%201.pdf
first_indexed	2023-09-18T22:49:33Z
last_indexed	2023-09-18T22:49:33Z
_version_	1777417452084264960

Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz

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