Title :
Hesitancy Histogram Equalization
Author :
Vlachos, Joannis K. ; Sergiadis, George D.
Author_Institution :
Aristotle Univ. of Thessaloniki, Thessaloniki
Abstract :
Extending our previous work on intuitionistic fuzzy histograms [1], we introduce the concept of hesitancy histogram and its application for enhancing low-contrasted images. The hesitancy histogram is based on intuitionistic fuzzy numbers using an entropic optimization criterion. Motivated by the histogram equalization technique, a hesitancy histogram equalization scheme is also proposed. Application of the presented intuitionistic fuzzy approach to real-world low-contrasted images demonstrate the efficiency of the proposed method.
Keywords :
entropy; fuzzy set theory; image enhancement; optimisation; entropic optimization criterion; hesitancy histogram equalization; image enhancement; intuitionistic fuzzy histograms; low-contrasted images; Entropy; Frequency selective surfaces; Fuzzy sets; Gray-scale; Histograms; Image processing; Sensitivity analysis; Tuning;
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2007.4295620
