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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Electrical Engineering and Information Science Journal of Electrical Engineering and Information Science Vol.2 No.5
- 발행연도
- 1997.10
- 수록면
- 72 - 78 (7page)
이용수
초록· 키워드
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This paper presents a fuzzy relaxation algorithm, which is based on the possibility and FAM instead of the probability and compatibility coefficients used in most of existing probabilistic relaxation algorithms. Because of eliminating stages for estimating of compatibility coefficients and normalization of the probability estimates. the proposed fuzzy relaxation algorithm increases the parallelism and has a simple iteration scheme. The construction of fuzzy relaxation scheme consists of the following three tasks: (1) Definition of in/output linguistic variables, their term sets, and possibility. (2) Definition of FAM rule bases for relaxation using fuzzy compound relations. (3) Construction of the iteration scheme for calculating the new possibility estimates. Applications to region segmentation and edge detection algorithms show that the proposed method can be used for not only reducing the image ambiguity and segmentation errors, but also enhancing the raw edge iteratively.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Modeling an Image into Fuzzy Geometry
Ⅲ. Fuzzy Relaxation Algorithm
Ⅳ. Application to Segmentation of Bimodal Image
Ⅴ. Application for Edge Detection of Natural Image
Ⅵ. Conclusion
References
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