Feature detection (computer vision): Difference between revisions

Revision as of 18:44, 12 August 2007

Revision as of 20:17, 7 November 2007

Line 1:

{{Neuroethology}}

In [[computer vision]] and [[image processing]] the concept of '''feature detection''' refers to methods that aim at computing abstractions of image information and making local decisions at every image point whether there is an [[image feature]] of a given type at that point or not. The resulting features will be subsets of the image ___domain, often in the form of isolated points, continuous curves or connected regions.

Line 183 ⟶ 185:

[[Category:Computer vision]]

[[Category:Image processing]]

[[Category:Neuroethology Concepts]]