Feature Detection (computer Vision)

Feature Detection (computer Vision)

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.

Read more about Feature Detection (computer Vision):  Definition of A Feature, Feature Detectors, Feature Extraction

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Feature Detection (computer Vision) - Feature Extraction
... Once featureshave been detected,a local image patch around the featurecan be extracted ... The result is known as a featuredescriptor or featurevector ... Among the approaches that are used to featuredescription,one can mention N-jets and local histograms see scale-invariant featuretransform for one example of a local histogram descriptor) ...

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