| Paper: | MP-L2.3 |
| Session: | Image And Video Segmentation II: Texture Segmentation |
| Time: | Monday, September 17, 15:10 - 15:30 |
| Presentation: |
Lecture
|
| Title: |
BAYESIAN EXAMPLE BASED SEGMENTATION USING A HYBRID ENERGY MODEL. |
| Authors: |
Claire Gallagher; Trinity College Dublin | | |
| | Anil Kokaram; Trinity College Dublin | | |
| Abstract: |
This paper describes a supervised segmentation algorithm which draws inspiration from recent advances in non-parametric texture synthesis. A set of example images which have been segmented \textit{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 non-parametric 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. |
