Automatic Optimal Thresholding of Image Data
Jan Hrubes, J Kozumplík · 2007
This paper deals with automatic image thresholding based on fuzzy entropy definition. It is used to select the fuzzy region of membership function so that an image is able to be transformed into fuzzy domain with maximum fuzzy entropy. Then we are able to divide the fuzzy region and establish the thresholds. For selection of optimal membership function is used genetic algorithm.