Feature (computer Vision)
In computer vision and image processing the concept of feature is used to denote a piece of information which is relevant for solving the computational task related to a certain application. More specifically, features can refer to
- the result of a general neighborhood operation (feature extractor or feature detector) applied to the image,
- specific structures in the image itself, ranging from simple structures such as points or edges to more complex structures such as objects.
Other examples of features are related to motion in image sequences, to shapes defined in terms of curves or boundaries between different image regions, or to properties of such a region.
The feature concept is very general and the choice of features in a particular computer vision system may be highly dependent on the specific problem at hand.
Read more about Feature (computer Vision): Introduction, Feature Representation, Feature Vectors and Feature Spaces, Multi-level Feature Processing
Famous quotes containing the word feature:
“When delicate and feeling souls are separated, there is not a feature in the sky, not a movement of the elements, not an aspiration of the breeze, but hints some cause for a lover’s apprehension.”
—Richard Brinsley Sheridan (1751–1816)