Thresholding using two-dimensional histogram and fuzzy entropy principle

Authors:
H. D. Cheng;Y. H. Chen;X. H. Jiang
Affiliations:
Dept. of Comput. Sci., Utah State Univ., Logan, UT;-;-
Venue:
IEEE Transactions on Image Processing
Year:
2000

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Abstract

This paper presents a thresholding approach by performing fuzzy partition on a two-dimensional (2-D) histogram based on fuzzy relation and maximum fuzzy entropy principle. The experiments with various gray level and color images have demonstrated that the proposed approach outperforms the 2-D nonfuzzy approach and the one dimensional (1-D) fuzzy partition approach