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Binary fuzzy rough set model based on triangle modulus and its application to image processing

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2 Author(s)
Wang Dan ; Dept. of Mathematic & Syst. Sci., Nat. Univ. of Defense Technol., Changsha, China ; Wu Meng-da

Rough sets theory is an important tool that process uncertainty information. In this paper, image processing based on rough sets theory is discussed in detail. The paper presents a binary fuzzy rough set model based on triangle modulus, which describes binary relationship by upper approximation and lower approximation. As image can be described by binary relationship, the upper approximation and lower approximation can be used to represent an image. The model in this paper is well fit for processing image that have gentle gray change. An edge detection algorithm by the upper approximation and the lower approximation of image is presented, and image denoising also is discussed. At last, its better effect can be testified by many experiments.

Published in:

Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on

Date of Conference:

15-17 June 2009