Image segmentation based on two -dimension Fuzzy Tsallis-Entropy

Image processing bears some fuzziness in nature, as a effective mathematical tool for handling the ambiguity, Fuzzy set theory is introduced in the paper to define a new kind of fuzzy entropy, namely Two-dimension Fuzzy Tsallis Entropy(TFTE) and applied in image segmentation following the maximum entropy principle. To overcome the huge calculational burden when generalizing one-dimension entropy to two-dimension, the particle swarm optimization (PSO) algorithm was employed to accelerate the search of the optimal threshold. The validity and effectiveness of the presented method is illustrated by experiments and the application of Tsallis Entropy is generalized to fuzzy fields.