Yin, H. and Allinson, N. M. (1996) Unsupervised segmentation of textured images by pairwise data clustering. In: 3rd IEEE International Conference on Image Processing , 16-19 september 1996, Lausanne.
Full text not available from this repository.Abstract
We propose a novel approach to unsupervised texture segmentation, which is formulated as a combinatorial optimization problem known as pairwise data clustering with a sparse neighborhood structure. Pairwise dissimilarities between texture blocks are measured in terms of distribution differences of multi-resolution features. The feature vectors are based an a Gabor wavelet image representation. To efficiently solve the data clustering problem a deterministic annealing algorithm based on a meanfield approximation is derived. An application to Brodatz-like microtexture mixtures is shown. We statistically adress the questions of adequacy of the proposed cost function and the quality of the deterministic annealing algorithm compared with its stochastic variants.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | We propose a novel approach to unsupervised texture segmentation, which is formulated as a combinatorial optimization problem known as pairwise data clustering with a sparse neighborhood structure. Pairwise dissimilarities between texture blocks are measured in terms of distribution differences of multi-resolution features. The feature vectors are based an a Gabor wavelet image representation. To efficiently solve the data clustering problem a deterministic annealing algorithm based on a meanfield approximation is derived. An application to Brodatz-like microtexture mixtures is shown. We statistically adress the questions of adequacy of the proposed cost function and the quality of the deterministic annealing algorithm compared with its stochastic variants. |
| Keywords: | neural networks, segmentation |
| Subjects: | G Mathematical and Computer Sciences > G730 Neural Computing |
| Divisions: | College of Sciences > Faculty of Science > Lincoln School of Computer Science |
| Depositing User: | Bev Jones |
| Date Deposited: | 20 Apr 2012 14:14 |
| Last Modified: | 20 Apr 2012 14:14 |
| URI: | http://eprints.lincoln.ac.uk/id/eprint/5083 |
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