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BMVC
2010

Patch-Cuts: A Graph-Based Image Segmentation Method Using Patch Features and Spatial Relations

8 years 6 months ago
Patch-Cuts: A Graph-Based Image Segmentation Method Using Patch Features and Spatial Relations
In this paper, we present a graph-based image segmentation method (patch-cuts) that incorporates features and spatial relations obtained from image patches. In the first step, patch-cuts extracts a set of patches that can assume arbitrary shape and size. Patches are determined by a combination of intensity quantization and morphological operations and render the proposed method robust against noise. Upon patch extraction, a set of intensity, texture and shape features are computed for each patch. These features are integrated and minimized simultaneously in a tunable energy function. Patch-cuts explores the benefit of information theory-based measures such as the Kullback-Leibler and the Jensen-Shannon divergence in its energy terms. In our experiments, we applied patchcuts to general images as well as to non-contrast Computed Tomography heart scans.
Gerd Brunner, Deepak Roy Chittajallu, Uday Kurkure
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where BMVC
Authors Gerd Brunner, Deepak Roy Chittajallu, Uday Kurkure, Ioannis A. Kakadiaris
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