Unsupervised Segmentation of Color-Texture Regions in Images and Video

@article{Deng2001UnsupervisedSO,
  title={Unsupervised Segmentation of Color-Texture Regions in Images and Video},
  author={Yining Deng and B. S. Manjunath},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={2001},
  volume={23},
  pages={800-810}
}
A method for unsupervised segmentation of color-texture regions in images and video is presented. [] Key Method In the first step, colors in the image are quantized to several representative classes that can be used to differentiate regions in the image. The image pixels are then replaced by their corresponding color class labels, thus forming a class-map of the image. The focus of this work is on spatial segmentation, where a criterion for "good" segmentation using the class-map is proposed.

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