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Scale- Space Segmentation
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High Quality Content by WIKIPEDIA articles! 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. Witkin's seminal work in scale space included the notion that a one-dimensional signal could be unambiguously segmented into regions, with one scale parameter controlling the scale of segmentation. A key observation is that the zero-crossings of the second derivatives (minima and maxima of the first derivative or slope) of multi-scale-smoothed versions of a signal form a nesting tree, which defines hierarchical relations between segments at different scales. Specifically, slope extrema at coarse scales can be traced back to corresponding features at fine scales. When a slope maximum and slope minimum annihilate each other at a larger scale, the three segments that they separated merge into one segment, thus defining the hierarchy of segments.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786131393099
- Editor Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
- EAN 9786131393099
- Titel Scale- Space Segmentation
- Herausgeber Betascript Publishing
- Anzahl Seiten 96
- Genre Informatik
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