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Title: Isoperimetric graph partitioning for image segmentation. Author: Grady L, Schwartz EL. Journal: IEEE Trans Pattern Anal Mach Intell; 2006 Mar; 28(3):469-75. PubMed ID: 16526432. Abstract: 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.[Abstract] [Full Text] [Related] [New Search]