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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| Format: | Article |
| Language: | English |
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Research Management Institute (RMI)
2009
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/12916/ |
| _version_ | 1848803200316997632 |
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| 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 |
| building | UiTM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T21:35:28Z |
| format | Article |
| id | uitm-12916 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:35:28Z |
| publishDate | 2009 |
| publisher | Research Management Institute (RMI) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-129162016-05-27T11:13:56Z https://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 srj 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 https://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. (2009) Scientific Research Journal <https://ir.uitm.edu.my/view/publication/Scientific_Research_Journal.html>, 6 (1). pp. 43-63. ISSN 1675-7009 https://srj.uitm.edu.my/ |
| 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 |
| title | 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_short | 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 |
| topic | Fuzzy logic Radiography |
| url | https://ir.uitm.edu.my/id/eprint/12916/ https://ir.uitm.edu.my/id/eprint/12916/ |