Hesitancy Histogram Equalization

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 his...

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Bibliographic Details
Main Authors: Vlachos, I.K., Sergiadis, G.D.
Format: Conference Proceeding
Language:English
Subjects:
Entropy
Frequency selective surfaces
Fuzzy sets
Gray-scale
Histograms
Image processing
Sensitivity analysis
Tuning
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Description
Summary: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.
ISSN:1098-7584
DOI:10.1109/FUZZY.2007.4295620