Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation

Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation

By a “covering” we mean a Gaussian mixture model fit to observed data. Approximations of the Bayes factor can be availed of to judge model fit to the data within a given Gaussian mixture model. Between families of Gaussian mixture models, we propose the Rényi quadratic entropy as an excellent and tr...

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Bibliographic Details
Main Authors: Jean-Luc Starck, Fionn Murtagh, Pedro Contreras
Format: Article
Language:English
Published: MDPI AG 2009-09-01
Series:Entropy
Subjects:
image segmentation
clustering
model selection
minimum description length
Bayes factor
Rényi entropy
Shannon entropy
Online Access:http://www.mdpi.com/1099-4300/11/3/513/

Internet

http://www.mdpi.com/1099-4300/11/3/513/

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