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An interval type 2 fuzzy approach to multilevel image segmentation
- Issue Date
- Jun-2011
- Publisher
- IEEE
- Keywords
- Footprint of uncertainty (FOU); Fuzzy membership function; Interval type 2 (IT2) fuzzy sets; Ultrafuzziness
- Citation
- IEEE International Conference on Fuzzy Systems, pp.1164 - 1170
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE International Conference on Fuzzy Systems
- Start Page
- 1164
- End Page
- 1170
- ISSN
- 1098-7584
- 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. © 2011 IEEE.
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Related Researcher
- Rhee, Chung Hoon Frank
- ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)