Two-Dimensional Maximum Entropy Image Segmentation Method Based on Quantum-Behaved Particle Swarm Optimization Algorithm

@article{Lei2008TwoDimensionalME,
  title={Two-Dimensional Maximum Entropy Image Segmentation Method Based on Quantum-Behaved Particle Swarm Optimization Algorithm},
  author={Xiujuan Lei and Ali Fu},
  journal={2008 Fourth International Conference on Natural Computation},
  year={2008},
  volume={3},
  pages={692-696}
}
Image segmentation is a key part in image processing fields. The two-dimensional maximum entropy image segmentation method often gets ideal segmentation results for it not only considers the distribution of the gray information, but also takes advantage of the spatial neighbor information with using the two-dimensional histogram of the image. However it requires a large amount of computing time. The quantum-behaved particle swarm optimization (QPSO) algorithm, a new particle swarm optimization… CONTINUE READING
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