Feature detection (computer vision): Difference between revisions

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== Feature extraction ==
 
Once features have been detected, a local image patch around the feature can be extracted. This extraction may involve quite considerable amounts of image processing. The result is known as a feature descriptor or [[feature vector]]. Among the approaches that are used to feature description, one can mention [[N-jet]]s and local histograms (see [[scale-invariant feature transform]] for one example of a local histogram descriptor). In addition to such attribute information, the feature detection step by itself may also provide complementary attributes, such as the edge orientation and gradient magnitude in edge detection and the polarity and the strength of the blob in blob detection.
 
== See also ==