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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2009
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Online Access: | http://psasir.upm.edu.my/id/eprint/68793/1/Comparison%20of%203S%20multi-thresolding%20with%20fuzzy%20c-means%20method.pdf http://psasir.upm.edu.my/id/eprint/68793/ |
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my.upm.eprints.687932019-06-10T03:36:59Z 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 |
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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 http://psasir.upm.edu.my/id/eprint/68793/ |
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