Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm

@article{Tao2003ImageSB,
  title={Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm},
  author={Wenbing Tao and Jin-Wen Tian and Jian Liu},
  journal={Pattern Recognition Letters},
  year={2003},
  volume={24},
  pages={3069-3078}
}
In the paper, a three-level thresholding method for image segmentation is presented, based on probability partition, fuzzy partition and entropy theory. A new fuzzy entropy has been defined through probability analysis. The image is divided into three parts, namely, dark, gray and white part, whose member functions of the fuzzy region are Z-function and P-function and S-function, respectively, while the width and attribute of the fuzzy region can be determined by maximizing fuzzy entropy. The… CONTINUE READING
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