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Triangulation cut for image segmentation
By: Krishnamurthy, A.; Sood, S.;
2008 / IEEE / 978-1-4244-1483-3
This item was taken from the IEEE Conference ' Triangulation cut for image segmentation ' This paper proposes a novel method called triangulation cut (Tcut) to improve upon current color image segmentation techniques. Tcut utilizes constrained delaunay triangulation, scale based tuning and graph spectral segmentation. Tcut approach has superior computational and memory efficiency over Normalized Cuts (Ncut) . In addition, it avoids over-segmentation of large homogeneous regions and it groups spatially discontiguous but similar regions in the same segment. This results in an accurate estimate of the number of perceivable regions present in the image as compared to that of Ncut. Application of Tcut on variety of images have yielded promising results.
Graph Spectral Segmentation
Finite Impulse Response Filter
Research And Development
Image Colour Analysis
Image Edge Detection