Connected component labeling using components neighbors-scan labeling approach

Problem statement: Many approaches have been proposed in previous such as the classic sequential connected components labeling algorithm which is relies on two subsequent raster-scans of a binary image. This method produced good performance in terms of accuracy, but because of the implementation of...

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Main Authors: Rakhmadi, Akmal, Othman, Nur Zuraifah Syazrah, Bade, Abdullah, Mohd. Rahim, Mohd. Shafry, M. Amin, Ismail
Format: Article
Published: Science Publications 2010
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Online Access:http://eprints.utm.my/id/eprint/23015/
http://dx.doi.org/10.3844/jcssp.2010.1099.1107
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spelling my.utm.230152018-03-22T10:31:39Z http://eprints.utm.my/id/eprint/23015/ Connected component labeling using components neighbors-scan labeling approach Rakhmadi, Akmal Othman, Nur Zuraifah Syazrah Bade, Abdullah Mohd. Rahim, Mohd. Shafry M. Amin, Ismail QA75 Electronic computers. Computer science Problem statement: Many approaches have been proposed in previous such as the classic sequential connected components labeling algorithm which is relies on two subsequent raster-scans of a binary image. This method produced good performance in terms of accuracy, but because of the implementation of the image processing systems now requires faster process of the computer, the speed of this technique's process has become an important issue. Approach: A computational approach, called components neighbors-scan labeling algorithm for connected component labeling was presented in this study. This algorithm required scanning through an image only once to label connected components. The algorithm started by scanning from the head of the component's group, before tracing all the components neighbors by using the main component's information. This algorithm had desirable characteristics, it is simple while promoted accuracy and low time consuming. By using a table of components, this approach also gave other advantages as the information for the next higher process. Results: The approach had been tested with a collection of binary images. In practically all cases, the technique had successfully given the desired result. Averagely, from the results the algorithm increased the speed around 67.4% from the two times scanning method. Conclusion: Conclusion from the comparison with the previous method, the approach of components neighbors-scan for connected component labeling promoted speed, accuracy and simplicity. The results showed that the approach has a good performance in terms of accuracy, the time consumed and the simplicity of the algorithm. Science Publications 2010 Article PeerReviewed Rakhmadi, Akmal and Othman, Nur Zuraifah Syazrah and Bade, Abdullah and Mohd. Rahim, Mohd. Shafry and M. Amin, Ismail (2010) Connected component labeling using components neighbors-scan labeling approach. Journal of Computer Science, 6 (10). pp. 1099-1107. ISSN 1549-3636 http://dx.doi.org/10.3844/jcssp.2010.1099.1107 doi:10.3844/jcssp.2010.1099.1107
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 QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Rakhmadi, Akmal
Othman, Nur Zuraifah Syazrah
Bade, Abdullah
Mohd. Rahim, Mohd. Shafry
M. Amin, Ismail
Connected component labeling using components neighbors-scan labeling approach
description Problem statement: Many approaches have been proposed in previous such as the classic sequential connected components labeling algorithm which is relies on two subsequent raster-scans of a binary image. This method produced good performance in terms of accuracy, but because of the implementation of the image processing systems now requires faster process of the computer, the speed of this technique's process has become an important issue. Approach: A computational approach, called components neighbors-scan labeling algorithm for connected component labeling was presented in this study. This algorithm required scanning through an image only once to label connected components. The algorithm started by scanning from the head of the component's group, before tracing all the components neighbors by using the main component's information. This algorithm had desirable characteristics, it is simple while promoted accuracy and low time consuming. By using a table of components, this approach also gave other advantages as the information for the next higher process. Results: The approach had been tested with a collection of binary images. In practically all cases, the technique had successfully given the desired result. Averagely, from the results the algorithm increased the speed around 67.4% from the two times scanning method. Conclusion: Conclusion from the comparison with the previous method, the approach of components neighbors-scan for connected component labeling promoted speed, accuracy and simplicity. The results showed that the approach has a good performance in terms of accuracy, the time consumed and the simplicity of the algorithm.
format Article
author Rakhmadi, Akmal
Othman, Nur Zuraifah Syazrah
Bade, Abdullah
Mohd. Rahim, Mohd. Shafry
M. Amin, Ismail
author_facet Rakhmadi, Akmal
Othman, Nur Zuraifah Syazrah
Bade, Abdullah
Mohd. Rahim, Mohd. Shafry
M. Amin, Ismail
author_sort Rakhmadi, Akmal
title Connected component labeling using components neighbors-scan labeling approach
title_short Connected component labeling using components neighbors-scan labeling approach
title_full Connected component labeling using components neighbors-scan labeling approach
title_fullStr Connected component labeling using components neighbors-scan labeling approach
title_full_unstemmed Connected component labeling using components neighbors-scan labeling approach
title_sort connected component labeling using components neighbors-scan labeling approach
publisher Science Publications
publishDate 2010
url http://eprints.utm.my/id/eprint/23015/
http://dx.doi.org/10.3844/jcssp.2010.1099.1107
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score 13.211869