Comparison of 3S multi-thresolding with fuzzy c-means method

The 3S (Shrinking-Search-Space) multi-thresholding method which have been used for segmentation of medical images according to their intensities, now have been implemented and compared with FCM method in terms of segmentation quality and segmentation time as a benchmark in thresholding. The results...

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Main Authors: Mortazavi, Daryoush, Mashohor, Syamsiah, Mahmud, Rozi, Jantan, Adznan
Format: Conference or Workshop Item
Language:English
Published: IEEE 2009
Online Access:http://psasir.upm.edu.my/id/eprint/68793/1/Comparison%20of%203S%20multi-thresolding%20with%20fuzzy%20c-means%20method.pdf
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spelling oai:psasir.upm.edu.my:68793 http://psasir.upm.edu.my/id/eprint/68793/ Comparison of 3S multi-thresolding with fuzzy c-means method Mortazavi, Daryoush Mashohor, Syamsiah Mahmud, Rozi Jantan, Adznan The 3S (Shrinking-Search-Space) multi-thresholding method which have been used for segmentation of medical images according to their intensities, now have been implemented and compared with FCM method in terms of segmentation quality and segmentation time as a benchmark in thresholding. The results show that 3S method produced almost the same segmentation quality or in some occasions better quality than FCM, and the computation time of 3S method is much lower than FCM. This is another superiority of this method with respect to others. Also, the performance of C-means has been compared with two other methods. This comparison shows that, C-means is not a reliable clustering algorithm and it needs several run to give us a reliable result. IEEE 2009 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68793/1/Comparison%20of%203S%20multi-thresolding%20with%20fuzzy%20c-means%20method.pdf Mortazavi, Daryoush and Mashohor, Syamsiah and Mahmud, Rozi and Jantan, Adznan (2009) Comparison of 3S multi-thresolding with fuzzy c-means method. In: 2009 Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2009), 25-26 July 2009, Monash University, Sunway campus, Malaysia. (pp. 119-124). 10.1109/CITISIA.2009.5224230
institution UPM IR
collection UPM IR
language English
description The 3S (Shrinking-Search-Space) multi-thresholding method which have been used for segmentation of medical images according to their intensities, now have been implemented and compared with FCM method in terms of segmentation quality and segmentation time as a benchmark in thresholding. The results show that 3S method produced almost the same segmentation quality or in some occasions better quality than FCM, and the computation time of 3S method is much lower than FCM. This is another superiority of this method with respect to others. Also, the performance of C-means has been compared with two other methods. This comparison shows that, C-means is not a reliable clustering algorithm and it needs several run to give us a reliable result.
format Conference or Workshop Item
author Mortazavi, Daryoush
Mashohor, Syamsiah
Mahmud, Rozi
Jantan, Adznan
spellingShingle Mortazavi, Daryoush
Mashohor, Syamsiah
Mahmud, Rozi
Jantan, Adznan
Comparison of 3S multi-thresolding with fuzzy c-means method
author_facet Mortazavi, Daryoush
Mashohor, Syamsiah
Mahmud, Rozi
Jantan, Adznan
author_sort Mortazavi, Daryoush
title Comparison of 3S multi-thresolding with fuzzy c-means method
title_short Comparison of 3S multi-thresolding with fuzzy c-means method
title_full Comparison of 3S multi-thresolding with fuzzy c-means method
title_fullStr Comparison of 3S multi-thresolding with fuzzy c-means method
title_full_unstemmed Comparison of 3S multi-thresolding with fuzzy c-means method
title_sort comparison of 3s multi-thresolding with fuzzy c-means method
publisher IEEE
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/68793/1/Comparison%20of%203S%20multi-thresolding%20with%20fuzzy%20c-means%20method.pdf
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score 12.833586