Gaussian Kernelized Fuzzy c-means with Spatial Information Algorithm for Image Segmentation

@article{Liu2012GaussianKF,
  title={Gaussian Kernelized Fuzzy c-means with Spatial Information Algorithm for Image Segmentation},
  author={Cuiyin Liu and Xiuqiong Zhang and Xiaofeng Li and Yani Liu and Jun Yang},
  journal={J. Comput.},
  year={2012},
  volume={7},
  pages={1511-1518}
}
FCM is used for image segmentation in some applications. It is based on a specific distance norm and does not use spatial information of the image, so it has some drawbacks. Various kinds of improvements have been developed to extend the adaptability, such as BFCM, SFCM and KFCM. These methods extend FCM from two aspects, one is replacing the Euclidean norm, and the other is considering the spatial information constraints for clustering. Kernel distance can improve the robustness for multi… 

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