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.
|Item Type:||Conference or Workshop Item (Paper)|
|Divisions:||College of Science > School of Computer Science|
|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.|
|Date Deposited:||20 Apr 2012 14:14|
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