Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Specification of Edge Penalties for Regular and Irregular Pixel Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced algorithmic approaches to medical image segmentation
Nonlocal Prior Bayesian Tomographic Reconstruction
Journal of Mathematical Imaging and Vision
Joint Bayesian PET reconstruction algorithm using a quadratic hybrid multi-order prior
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Generalized Gibbs priors based positron emission tomography reconstruction
Computers in Biology and Medicine
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
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The authors propose a Bayesian model for the restoration of images based on counts of emitted photons. The model treats blurring within the context of an incomplete data problem and utilizes a Gibbs prior to model the spatial correlation of neighboring regions. The Gibbs prior includes line sites to account for boundaries between regions, and the line sites are assigned continuous values to permit efficient estimation using a method called iterative conditional averages. In addition, the effect of blurring in masking differences between images and the effects of misspecifying the amount of blurring are discussed.