Neural network in corner detection of vertex chain code series
This paper presents a Neural Network Classifier to be implemented in corner detection of chain code series. The classifier directly uses chain code which is derived using Freeman chain code as training, testing and validation set. The steps of developing Neural Network Classifier are included in thi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2006
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| Subjects: | |
| Online Access: | http://eprints.utm.my/8210/ http://eprints.utm.my/8210/1/8210.pdf |
| _version_ | 1848891639947329536 |
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| author | Subri, S. H. Haron, Habibollah Sallehuddin, R. |
| author_facet | Subri, S. H. Haron, Habibollah Sallehuddin, R. |
| author_sort | Subri, S. H. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | This paper presents a Neural Network Classifier to be implemented in corner detection of chain code series. The classifier directly uses chain code which is derived using Freeman chain code as training, testing and validation set. The steps of developing Neural Network Classifier are included in this paper. Comparison results between Neural Network Classifier corner detection and other computational corner detection are presented to show the reliability of the proposed classifier. This paper ends with the discussions on the implementation of proposed neural network in corner detection of chain code series. Experimental results have shown that the proposed network has good robustness and detection performance. This makes this method a great choice for machine vision. |
| first_indexed | 2025-11-15T21:01:10Z |
| format | Article |
| id | utm-8210 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:01:10Z |
| publishDate | 2006 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-82102017-10-23T07:21:24Z http://eprints.utm.my/8210/ Neural network in corner detection of vertex chain code series Subri, S. H. Haron, Habibollah Sallehuddin, R. QA75 Electronic computers. Computer science This paper presents a Neural Network Classifier to be implemented in corner detection of chain code series. The classifier directly uses chain code which is derived using Freeman chain code as training, testing and validation set. The steps of developing Neural Network Classifier are included in this paper. Comparison results between Neural Network Classifier corner detection and other computational corner detection are presented to show the reliability of the proposed classifier. This paper ends with the discussions on the implementation of proposed neural network in corner detection of chain code series. Experimental results have shown that the proposed network has good robustness and detection performance. This makes this method a great choice for machine vision. 2006 Article PeerReviewed application/pdf en http://eprints.utm.my/8210/1/8210.pdf Subri, S. H. and Haron, Habibollah and Sallehuddin, R. (2006) Neural network in corner detection of vertex chain code series. The International Journal of Artificial Intelligence and Machine Learning (AIML Journal), 6 (1). pp. 37-43. ISSN 1687-4846 cetak ; 1687-4854 Online http://www.icgst.com/AIML.html |
| spellingShingle | QA75 Electronic computers. Computer science Subri, S. H. Haron, Habibollah Sallehuddin, R. Neural network in corner detection of vertex chain code series |
| title | Neural network in corner detection of vertex chain code series |
| title_full | Neural network in corner detection of vertex chain code series |
| title_fullStr | Neural network in corner detection of vertex chain code series |
| title_full_unstemmed | Neural network in corner detection of vertex chain code series |
| title_short | Neural network in corner detection of vertex chain code series |
| title_sort | neural network in corner detection of vertex chain code series |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/8210/ http://eprints.utm.my/8210/ http://eprints.utm.my/8210/1/8210.pdf |