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In this paper, we propose an automatic thresholding method based on 2D Tsallis-Havrda-Charvat entropy and histogram of local binary patterns (LBP). Tsallis-Havrda-Charvat entropy is extracted from 2D histogram, which is calculated by using the LBP decimal value of a pixel and the average decimal value of its local neighborhood. Few parameters influenced the thresholding results. Therefore, an automatic...
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.
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