Multiple Resolution Segmentation of Textured Images

  title={Multiple Resolution Segmentation of Textured Images},
  author={Charles A. Bouman and Bede Liu},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
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
Highly Influential
This paper has highly influenced 21 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
228 Citations
18 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 228 extracted citations


Publications referenced by this paper.
Showing 1-10 of 18 references

Multiple Resolution Approach to Regularization,

  • C. Bouman, Bede Liu
  • Proc. SPIE Conf. on Visual Comm. and Image Proc.,
  • 1988
2 Excerpts

Segmentation of Textured Images Using a Multiple Resolution Approach,

  • C. Bouman, Bede Liu
  • Proc. IEEE Int'l Conf. on Acoust., Speech and Sig…
  • 1988
3 Excerpts

Unsupervised Image Segmentation Using A Gaussian Model,

  • J. Zhang, J. W. Modestino
  • Proceedings of the 1988 Conference on Information…
  • 1988
3 Excerpts

Segmentation of Noisy Textured Images Using Simulated Annealing,

  • C. S. Won, H. Derin
  • Proceedings: ICASSP
  • 1987
2 Excerpts

Similar Papers

Loading similar papers…