Image Segmentation Non-Parametric and Parametric Modelling Dual Tree-Complex Wavelet Transform Markov Random Field
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
IEEE International Conference on Image Processing 2, Sept. 16-Oct.19
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.
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