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Title: Bayesian example based segmentation using a hybrid energy model
Sponsor: Irish Research Council for Science Engineering and Technology
Author's Homepage:
Keywords: Image Segmentation
Non-Parametric and Parametric Modelling
Dual Tree-Complex Wavelet Transform
Markov Random Field
Issue Date: 2007
Publisher: IEEE
Citation: Gallagher, Claire; Kokaram, Anil., Bayesian example based segmentation using a hybrid energy model, IEEE International Conference on Image Processing, 2, (Sept. 16-Oct.19), 2007, p41-44
Series/Report no.: IEEE International Conference on Image Processing
2, Sept. 16-Oct.19
Abstract: This paper describes a supervised segmentation algorithmwhich draws inspiration from recent advances in non-parametric texture synthesis. A set of example images which have been segmented a priori are used as a guide in the segmentation process. This new algorithm is built on the Bayesian framework and combines the strengths of both parametric and nonparametric modelling techniques. The suitability of the wavelet transform for texture modelling is highlighted and an outlier class condition is introduced as a means to increase the flexibility of the algorithm. Segmentation results demonstrate the potential of this new algorithm.
Description: PUBLISHED
ISSN: 49870
Appears in Collections:Electronic & Electrical Eng (Scholarly Publications)

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