A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Mathematical methods in image reconstruction
Mathematical methods in image reconstruction
Multiseeded Segmentation Using Fuzzy Connectedness
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Automated estimation of the parameters of Gibbs priors to be used in binary tomography
Discrete Applied Mathematics - The 2001 international workshop on combinatorial image analysis (IWCIA 2001)
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Our aim is to produce a tessellation of space into small voxels and, based on only a few tomographic projections of an object, assign to each voxel a label from a small predetermined set that indicates one of the components of interest constituting the object. Traditional methods are not reliable due to, among other reasons, the low number of projections. We postulate a low level prior knowledge regarding the underlying distribution of label images, and then directly estimate a label image based on the prior and the projections. We use a coordinate ascent approach for the estimation.