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...

Full description

Saved in:
Bibliographic Details
Main Authors: Subri, S. H., Haron, Habibollah, Sallehuddin, R.
Format: Article
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/id/eprint/8210/1/8210.pdf
http://eprints.utm.my/id/eprint/8210/
http://www.icgst.com/AIML.html
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.8210
record_format eprints
spelling my.utm.82102017-10-23T07:21:24Z http://eprints.utm.my/id/eprint/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/id/eprint/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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Subri, S. H.
Haron, Habibollah
Sallehuddin, R.
Neural network in corner detection of vertex chain code series
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.
format Article
author Subri, S. H.
Haron, Habibollah
Sallehuddin, R.
author_facet Subri, S. H.
Haron, Habibollah
Sallehuddin, R.
author_sort Subri, S. H.
title Neural network in corner detection of vertex chain code series
title_short 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_sort neural network in corner detection of vertex chain code series
publishDate 2006
url http://eprints.utm.my/id/eprint/8210/1/8210.pdf
http://eprints.utm.my/id/eprint/8210/
http://www.icgst.com/AIML.html
_version_ 1643644941873709056
score 13.160551