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TCSV
2010

Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection

9 years 9 months ago
Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature selection. The model has flexibility to accurately represent heavytailed image/video histograms, while automatically discarding uninformative features, leading to better discrimination and localization of regions in high-dimensional spaces. Experimental results on a database of real-world images and videos showed us the effectiveness of the proposed approach.
Mohand Saïd Allili, Djemel Ziou, Nizar Bougui
Added 21 May 2011
Updated 21 May 2011
Type Journal
Year 2010
Where TCSV
Authors Mohand Saïd Allili, Djemel Ziou, Nizar Bouguila, Sabri Boutemedjet
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