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...

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Main Authors: Subri, S. H., Haron, Habibollah, Sallehuddin, R.
Format: Article
Language:en
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/8210/1/8210.pdf
http://eprints.utm.my/8210/
http://www.icgst.com/AIML.html
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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 UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
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.
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institution Universiti Teknologi Malaysia
language en
publishDate 2006
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spelling my.utm.eprints-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/8210/1/8210.pdf
http://eprints.utm.my/8210/
http://www.icgst.com/AIML.html
url_provider http://eprints.utm.my/