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ICCV
2003
IEEE

Natural Image Statistics for Natural Image Segmentation

9 years 2 months ago
Natural Image Statistics for Natural Image Segmentation
Building on recent progress in modeling filter response statistics of natural images we integrate a statistical model into a variational framework for image segmentation. Incorporated in a sound probabilistic distance measure the model drives level sets toward meaningful segmentations of complex textures and natural scenes. Since each region comprises two model parameters only the approach is computationally efficient and enables the application of variational segmentation to a considerably larger class of real-world images. We validate the statistical basis of our approach on thousands of natural images and demonstrate that our model outperforms recent variational segmentation methods based on second-order statistics.
Matthias Heiler, Christoph Schnörr
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ICCV
Authors Matthias Heiler, Christoph Schnörr
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