Normalized Cuts and Image Segmentation¶
Jianbo Shi, & Malik, J. (2000). Normalized Cuts and Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8), 888-905.
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Primes¶
- Cut
- Computer networks. Minimum cuts identify the bandwidth bottleneck between source and sink; designing for capacity is raising the small cuts, and reliability analysis locates vulnerability through min-cut variants on the connectivity graph. Image segmentation and vision. The normalized-cut algorithm partitions a pixel-similarity graph by finding a cut whose value, normalized by the sizes of the two parts, is small, placing the segmentation where the image has its real cleavage.
This sourceIntroduces the normalized-cut criterion partitioning a similarity graph by a size-normalized small cut, placing segmentation at real cleavages.
- Computer networks. Minimum cuts identify the bandwidth bottleneck between source and sink; designing for capacity is raising the small cuts, and reliability analysis locates vulnerability through min-cut variants on the connectivity graph. Image segmentation and vision. The normalized-cut algorithm partitions a pixel-similarity graph by finding a cut whose value, normalized by the sizes of the two parts, is small, placing the segmentation where the image has its real cleavage.
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