Title :
Thresholding using two-dimensional histogram and fuzzy entropy principle
Author :
Cheng, H.D. ; Chen, Y.H. ; Jiang, X.H.
Author_Institution :
Dept. of Comput. Sci., Utah State Univ., Logan, UT, USA
fDate :
4/1/2000 12:00:00 AM
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
Keywords :
fuzzy set theory; genetic algorithms; image colour analysis; maximum entropy methods; 1D fuzzy partition; 2D histogram; 2D nonfuzzy approach; color images; experiments; fuzzy entropy principle; fuzzy partition; fuzzy subsets; genetic algorithm; gray level images; maximum fuzzy entropy; thresholding; two-dimensional histogram; Circuits; Color; Entropy; Histograms; Interpolation; PSNR; Pixel; Streaming media; Two dimensional displays; Video coding;
Journal_Title :
Image Processing, IEEE Transactions on
