DocumentCode :
3124918
Title :
An interval type 2 fuzzy approach to multilevel image segmentation
Author :
Neog, Debanga Raj ; Raza, Muhammad Amjad ; Rhee, Frank Chung-Hoon
Author_Institution :
Indian Inst. of Technol., Guwahati, India
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
1164
Lastpage :
1170
Abstract :
In this paper, an interval type 2 (IT2) fuzzy entropy based approach is used to compute optimum thresholds for multistage gray scale image segmentation. By finding the maximum IT2 fuzzy entropy of the gray scale image, the optimum thresholds are computed. A termination criterion for multistage segmentation is also proposed based on the range of computed entropy values of the images. Several experimental results are shown to demonstrate the performance of our proposed algorithm which outperforms type 1 (T1) fuzzy based methods.
Keywords :
entropy; fuzzy set theory; image segmentation; computed entropy values; fuzzy based method; fuzzy entropy; interval type 2 fuzzy; multilevel image segmentation; multistage gray scale image segmentation; multistage segmentation; termination criterion; Entropy; Fuzzy sets; Histograms; Image segmentation; Indexes; Pragmatics; Uncertainty; Footprint of uncertainty (FOU); Fuzzy membership function; Interval type 2 (IT2) fuzzy sets; Ultrafuzziness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1098-7584
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2011.6007728
Filename :
6007728
Link To Document :
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