Title :
Thresholding based on fuzzy partition of 2D histogram
Author :
Cheng, H.D. ; Chen, Y.H.
Author_Institution :
Dept. of Comput. Sci., Utah State Univ., Logan, UT, USA
Abstract :
Thresholding is an important topic of image processing. This paper proposes a thresholding approach by performing a fuzzy partition on a 2D histogram of the image. The 2D fuzzy partition method and membership assignment are based on fuzzy relation of two fuzzy sets, which is characterized by a set of parameters (a, b, c). The proposed approach has been tested on various images, and the results have demonstrated that the proposed 2D fuzzy approach outperforms the 2D nonfuzzy approach and the 1D fuzzy approach
Keywords :
fuzzy set theory; image processing; maximum entropy methods; pattern recognition; 2D histogram; fuzzy entropy; fuzzy partition; fuzzy set theory; image processing; membership assignment; thresholding; Brightness; Computer science; Entropy; Fuzzy sets; Fuzzy systems; Histograms; Image processing; Pattern recognition; Pixel; Testing;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.712025