Browsing MIT by Subject "Segmentation"
Now showing items 1-2 of 2
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An Expectation Maximization Approach for Integrated Registration, Segmentation, and Intensity Correction
(2005-04-01)This paper presents a statistical framework which combines the registration of an atlas with the segmentation of MR images. We use an Expectation Maximization-based algorithm to find a solution within the model, which ...
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Integrating vision modules with coupled MRFs
(MIT Artificial Intelligence Laboratory, 1985-12)I outline a project for integrating several early visual modalities based on coupled Markov Random Fields models of the physical processes underlying image formation, such as depth, albedo and orientation of surfaces. The ...