Superpixel Segmentation Using Gaussian Mixture Model

@article{Ban2018SuperpixelSU,
  title={Superpixel Segmentation Using Gaussian Mixture Model},
  author={Zhihua Ban and Jianguo Liu and Li Cao},
  journal={IEEE Transactions on Image Processing},
  year={2018},
  volume={27},
  pages={4105-4117}
}
Superpixel segmentation partitions an image into perceptually coherent segments of similar size, namely, superpixels. It is becoming a fundamental preprocessing step for various computer vision tasks because superpixels significantly reduce the number of inputs and provide a meaningful representation for feature extraction. We present a pixel-related Gaussian mixture model (GMM) to segment images into superpixels. GMM is a weighted sum of Gaussian functions, each one corresponding to a… CONTINUE READING
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