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Isoperimetric Graph Partitioning for Image Segmentation
March 2006 (vol. 28 no. 3)
pp. 469-475
Spectral graph partitioning provides a powerful approach to image segmentation. We introduce an alternate idea that finds partitions with a small isoperimetric constant, requiring solution to a linear system rather than an eigenvector problem. This approach produces the high quality segmentations of spectral methods, but with improved speed and stability.

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Index Terms:
Index Terms- Graph-theoretic methods, graphs and networks, graph algorithms, image representation, special architectures, algorithms, computer vision, applications.
Citation:
Leo Grady, Eric L. Schwartz, "Isoperimetric Graph Partitioning for Image Segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 3, pp. 469-475, March 2006, doi:10.1109/TPAMI.2006.57
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