A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking Techniques
This paper proposes novel edge-linking algorithms capable of producing a set of edge segments from a binary edge map generated by a conventional edge-detection algorithm. These proposed algorithms transform the conventional edge-linking problem into a single-target tracking problem, which is a well-...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-12-01
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| Series: | Symmetry |
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| Online Access: | http://www.mdpi.com/2073-8994/8/12/143 |
| _version_ | 1811184421979553792 |
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| author | Ji Won Yoon |
| author_facet | Ji Won Yoon |
| author_sort | Ji Won Yoon |
| collection | DOAJ |
| description | This paper proposes novel edge-linking algorithms capable of producing a set of edge segments from a binary edge map generated by a conventional edge-detection algorithm. These proposed algorithms transform the conventional edge-linking problem into a single-target tracking problem, which is a well-known problem in object tracking. The conversion of the problem enables us to apply sophisticated Bayesian inference to connect the edge points. We test our proposed approaches on real images that are corrupted with noise. |
| first_indexed | 2024-04-11T13:12:57Z |
| format | Article |
| id | doaj.art-cd0f43c5b28c4cba845e722c0c0d4323 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-11T13:12:57Z |
| publishDate | 2016-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-cd0f43c5b28c4cba845e722c0c0d43232022-12-22T04:22:33ZengMDPI AGSymmetry2073-89942016-12-0181214310.3390/sym8120143sym8120143A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking TechniquesJi Won Yoon0Center for Information Security Technologies (CIST), Korea University, Seoul 02841, KoreaThis paper proposes novel edge-linking algorithms capable of producing a set of edge segments from a binary edge map generated by a conventional edge-detection algorithm. These proposed algorithms transform the conventional edge-linking problem into a single-target tracking problem, which is a well-known problem in object tracking. The conversion of the problem enables us to apply sophisticated Bayesian inference to connect the edge points. We test our proposed approaches on real images that are corrupted with noise.http://www.mdpi.com/2073-8994/8/12/143boundary detectionedge linkingsingle-target tracking |
| spellingShingle | Ji Won Yoon A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking Techniques Symmetry boundary detection edge linking single-target tracking |
| title | A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking Techniques |
| title_full | A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking Techniques |
| title_fullStr | A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking Techniques |
| title_full_unstemmed | A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking Techniques |
| title_short | A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking Techniques |
| title_sort | new bayesian edge linking algorithm using single target tracking techniques |
| topic | boundary detection edge linking single-target tracking |
| url | http://www.mdpi.com/2073-8994/8/12/143 |
| work_keys_str_mv | AT jiwonyoon anewbayesianedgelinkingalgorithmusingsingletargettrackingtechniques AT jiwonyoon newbayesianedgelinkingalgorithmusingsingletargettrackingtechniques |