Multiple Segmentation of Image Stacks

Jonathan Smets, Manfred Jaeger

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Abstrakt

We propose a method for the simultaneous construction of multiple image segmentations by combining a recently proposed “convolution of mixtures of Gaussians” model with a multi-layer hidden Markov random field structure. The resulting method constructs for a single image several, alternative segmentations that capture different structural elements of the image. We also apply the method to collections of images with identical pixel dimensions, which we call image stacks. Here it turns out that the method is able to both identify groups of similar images in the stack, and to provide segmentations that represent the main structures in each group.
OriginalsprogEngelsk
Titel ICPRAM 2014 - International Conference on Pattern Recognition Applications and Methods
ForlagSCITEPRESS Digital Library
Publikationsdato2014
Sider5-13
DOI
StatusUdgivet - 2014
BegivenhedICPRAM 2014 - International Conference on Pattern Recognition Applications and Methods - Angers, Loire Valley, Frankrig
Varighed: 6 mar. 20148 mar. 2014
Konferencens nummer: 3rd

Konference

KonferenceICPRAM 2014 - International Conference on Pattern Recognition Applications and Methods
Nummer3rd
LandFrankrig
ByAngers, Loire Valley
Periode06/03/201408/03/2014

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