image-processing
K-means image segmentation
taught
Treating pixel intensities as points in feature space and clustering them into k groups by iterated nearest-centroid assignment and centroid update.
Taught in
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Segmentation basics, recalled
Computer Vision
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K-means image segmentation
Digital Image Processing
Requires
- region-growing required
Required by
- The watershed transform required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.