Web Reference: We treat image segmentation as a graph partitioning problem and propose a novel global criterion, the normalized cut, for segmenting the graph. The normalized cut criterion measures both the total dissimilarity between the different groups as well as the total similarity within the groups. A novel approach for solving the perceptual grouping problem in vision using a global criterion, the normalized cut, for segmenting the graph. The normalized cut measures both the total dissimilarity and similarity of the groups and can be optimized by a generalized eigenvalue problem. Learn how to use normalized graph cuts, a grouping technique based on graph theory, to divide an image into different regions with similar properties. See examples, derivations, and references for this method.
YouTube Excerpt: This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at ...
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Normalized Cut Net Worth 2026: Salary, Income & Wealth Net Worth & Biography
Estimated Worth: $68M - $110M
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Last Updated: April 8, 2026
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