Scale-space segmentation

Scale-space segmentation or multi-scale segmentation is a general framework for signal and image segmentation, based on the computation of image descriptors at multiple scales of smoothing.

Scale space
Scale-space axioms
Scale space implementation
Feature detection
Edge detection
Blob detection
Corner detection
Ridge detection
Interest point detection
Scale selection
Affine shape adaptation
Scale-space segmentation
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