Multiple Resolution Segmentation of Textured Images

@article{Bouman1991MultipleRS,
  title={Multiple Resolution Segmentation of Textured Images},
  author={Charles A. Bouman and Bede Liu},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={1991},
  volume={13},
  pages={99-113}
}
This paper presents a multiple resolution algorithm for segmenting images into regions with di ering statistical behavior. In addition, an algorithm is developed for determining the number of statistically distinct regions in an image and estimating the parameters of those regions. Both algorithms use a causal Gaussian autoregressive (AR) model to describe the mean, variance and spatial correlation of the image textures. Together the algorithms may be used to perform unsupervised texture… CONTINUE READING
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Multiple Resolution Approach to Regularization,

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2 Excerpts

Segmentation of Textured Images Using a Multiple Resolution Approach,

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3 Excerpts

Unsupervised Image Segmentation Using A Gaussian Model,

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3 Excerpts

Segmentation of Noisy Textured Images Using Simulated Annealing,

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