A simple approach to determine the best threshold value for automatic image thresholding
Proceeding of The International Conference on Signal and Image Processing Applications, (ICSIPA09 2009) at Kuala Lumpur, Malaysia on 18 November 2009 through19 November 2009. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp
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2014
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my.unimap-353012015-07-14T01:31:24Z A simple approach to determine the best threshold value for automatic image thresholding Abdul Halim, Ismail Mohammad Hamiruce, Marhaban ihalim@unimap.edu.my Automatic image thresholding Gradient analysis Image histogram Illustrative examples Proceeding of The International Conference on Signal and Image Processing Applications, (ICSIPA09 2009) at Kuala Lumpur, Malaysia on 18 November 2009 through19 November 2009. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp Image thresholding is a powerful yet simple method to highlight the subject from its background in image scene analysis. Lots of methods have been proposed around the globe while some researchers regard this matter as a non-trivial problem. This paper proposes a simple approach for fast calculation of the threshold value for automatic image thresholding based on gradient analysis of the image histogram. The method manages to successfully differentiate the subject from the background. The proposed approach is validated by illustrative examples. Satisfactory results were acquired with other methods that use more complex algorithms. 2014-06-10T06:48:27Z 2014-06-10T06:48:27Z 2009 Working Paper p. 162-166 978-142445561-4 http://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=5478623 http://dspace.unimap.edu.my:80/dspace/handle/123456789/35301 10.1109/ICSIPA.2009.5478623 en Proceeding of The International Conference on Signal and Image Processing Applications, (ICSIPA09 2009).; IEEE Conference Publications |
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Automatic image thresholding Gradient analysis Image histogram Illustrative examples |
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Automatic image thresholding Gradient analysis Image histogram Illustrative examples Abdul Halim, Ismail Mohammad Hamiruce, Marhaban A simple approach to determine the best threshold value for automatic image thresholding |
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Proceeding of The International Conference on Signal and Image Processing Applications, (ICSIPA09 2009) at Kuala Lumpur, Malaysia on 18 November 2009 through19 November 2009.
Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp |
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ihalim@unimap.edu.my |
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ihalim@unimap.edu.my Abdul Halim, Ismail Mohammad Hamiruce, Marhaban |
format |
Working Paper |
author |
Abdul Halim, Ismail Mohammad Hamiruce, Marhaban |
author_sort |
Abdul Halim, Ismail |
title |
A simple approach to determine the best threshold value for automatic image thresholding |
title_short |
A simple approach to determine the best threshold value for automatic image thresholding |
title_full |
A simple approach to determine the best threshold value for automatic image thresholding |
title_fullStr |
A simple approach to determine the best threshold value for automatic image thresholding |
title_full_unstemmed |
A simple approach to determine the best threshold value for automatic image thresholding |
title_sort |
simple approach to determine the best threshold value for automatic image thresholding |
publisher |
IEEE Conference Publications |
publishDate |
2014 |
url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/35301 |
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1643797766864896000 |
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13.222552 |