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A new corner detection algorithm for chain code representation.

A new algorithm is proposed to detect a corner of a thinned binary image that is represented by an eight-connected contour chain code. The algorithm is based on chain-coded image, deriving the slope between each code, analyze the series of chain code, and finally decide the existence of corner at th...

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Main Authors: Haron , Habibollah, Shamsuddin , Siti Mariyam, Mohamed, Dzulkifli
Format: Article
Published: Taylor & Francis Group Ltd 2005
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/7588/
http://dx.doi.org/10.1080/00207160410001684271
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id my.utm.7588
record_format eprints
spelling my.utm.75882009-01-09T08:06:01Z http://eprints.utm.my/id/eprint/7588/ A new corner detection algorithm for chain code representation. Haron , Habibollah Shamsuddin , Siti Mariyam Mohamed, Dzulkifli T Technology (General) A new algorithm is proposed to detect a corner of a thinned binary image that is represented by an eight-connected contour chain code. The algorithm is based on chain-coded image, deriving the slope between each code, analyze the series of chain code, and finally decide the existence of corner at the current pixel location. The work assumes that the pre-processing processes on the image, namely thinning and digitization, have been done. Two weighted parameters identified as significant factors in determining the accuracy of the corner detection algorithm are discussed. The parameters are the length of segment and threshold value. Computational phases to derive values of rows and columns given a series of chain code are also given in detail. The algorithm can be used to interpret line drawing that represents three-dimensional object. Taylor & Francis Group Ltd 2005 Article PeerReviewed Haron , Habibollah and Shamsuddin , Siti Mariyam and Mohamed, Dzulkifli (2005) A new corner detection algorithm for chain code representation. International Journal of Computer Mathematics, 82 (8). pp. 941-950. ISSN 0020-7160 http://dx.doi.org/10.1080/00207160410001684271 10.1080/00207160410001684271
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/
topic T Technology (General)
spellingShingle T Technology (General)
Haron , Habibollah
Shamsuddin , Siti Mariyam
Mohamed, Dzulkifli
A new corner detection algorithm for chain code representation.
description A new algorithm is proposed to detect a corner of a thinned binary image that is represented by an eight-connected contour chain code. The algorithm is based on chain-coded image, deriving the slope between each code, analyze the series of chain code, and finally decide the existence of corner at the current pixel location. The work assumes that the pre-processing processes on the image, namely thinning and digitization, have been done. Two weighted parameters identified as significant factors in determining the accuracy of the corner detection algorithm are discussed. The parameters are the length of segment and threshold value. Computational phases to derive values of rows and columns given a series of chain code are also given in detail. The algorithm can be used to interpret line drawing that represents three-dimensional object.
format Article
author Haron , Habibollah
Shamsuddin , Siti Mariyam
Mohamed, Dzulkifli
author_facet Haron , Habibollah
Shamsuddin , Siti Mariyam
Mohamed, Dzulkifli
author_sort Haron , Habibollah
title A new corner detection algorithm for chain code representation.
title_short A new corner detection algorithm for chain code representation.
title_full A new corner detection algorithm for chain code representation.
title_fullStr A new corner detection algorithm for chain code representation.
title_full_unstemmed A new corner detection algorithm for chain code representation.
title_sort new corner detection algorithm for chain code representation.
publisher Taylor & Francis Group Ltd
publishDate 2005
url http://eprints.utm.my/id/eprint/7588/
http://dx.doi.org/10.1080/00207160410001684271
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score 13.211869

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