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

conference contribution
posted on 2009-01-01, 00:00 authored by Daryoush Mortazavi, S Mashohor, R Mahmud, A Jantan
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.

History

Event

Innovative Technologies in Intelligent Systems and Industrial Applications. Conference (2009 : Serdang, Malaysia)

Pagination

119 - 124

Publisher

IEEE Computer Society

Location

Serdang, Malaysia

Place of publication

Los Alamitos, Calif.

Start date

2009-07-25

End date

2009-07-26

ISBN-13

9781424428861

ISBN-10

1424428866

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2009, IEEE

Title of proceedings

CITISIA 2009 : Proceedings of the 2009 Conference on Innovative Technologies in Intelligent Systems and Industrial Applications

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