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CVPR
2000
IEEE

Fast Multiscale Image Segmentation

11 years 3 months ago
Fast Multiscale Image Segmentation
We introduce a fast, multiscale algorithm for image segmentation. Our algorithm uses modern numeric techniques to nd an approximate solution to normalized cut measures in time that is linear in the size of the image with only a few dozen operations per pixel. In just one pass the algorithm provides a complete hierarchical decomposition of the image into segments. The algorithm detects the segments by applying a process of recursive coarsening in which the same minimization problem is represented with fewer and fewer variables producing an irregular pyramid. During this coarsening process we may compute additional internal statistics of the emerging segments and use these statistics to facilitate the segmentation process. Once the pyramid is completed it is scanned from the top down to associate pixels close to the boundaries of segments with the appropriate segment. The algorithm is inspired by algebraic multigrid (AMG) solvers of minimization problems of heat or electric networks. We...
Eitan Sharon, Achi Brandt, Ronen Basri
Added 12 Oct 2009
Updated 30 Oct 2009
Type Conference
Year 2000
Where CVPR
Authors Eitan Sharon, Achi Brandt, Ronen Basri
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