Thresholding based on fuzzy partition of 2D histogram

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.

[1]  P.K Sahoo,et al.  A survey of thresholding techniques , 1988, Comput. Vis. Graph. Image Process..

[2]  H. D. Cheng,et al.  Threshold selection based on fuzzy c-partition entropy approach , 1998, Pattern Recognit..

[3]  Chin-Wen Yang,et al.  Fast two-dimensional entropic thresholding algorithm , 1993, Other Conferences.

[4]  L. Zadeh.  Probability measures of Fuzzy events , 1968 .

[5]  Chin-Wen Yang,et al.  A fast two-dimensional entropic thresholding algorithm , 1994, Pattern Recognit..