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- Scale-space_axioms abstract "In image processing and computer vision, a scale space framework can be used to represent an image as a family of gradually smoothed images. This framework is very general and a variety of scale space representations exist. A typical approach for choosing a particular type of scale space representation is to establish a set of scale-space axioms, describing basic properties of the desired scale-space representation and often chosen so as to make the representation useful in practical applications. Once established, the axioms narrow the possible scale-space representations to a smaller class, typically with only a few free parameters.A set of standard scale space axioms, discussed below, leads to the linear Gaussian scale-space, which is the most common type of scale space used in image processing and computer vision.".
- Scale-space_axioms wikiPageID "5481404".
- Scale-space_axioms wikiPageRevisionID "583778050".
- Scale-space_axioms hasPhotoCollection Scale-space_axioms.
- Scale-space_axioms subject Category:Computer_vision.
- Scale-space_axioms subject Category:Image_processing.
- Scale-space_axioms comment "In image processing and computer vision, a scale space framework can be used to represent an image as a family of gradually smoothed images. This framework is very general and a variety of scale space representations exist.".
- Scale-space_axioms label "Scale-space axioms".
- Scale-space_axioms sameAs m.0dns33.
- Scale-space_axioms sameAs Q7429707.
- Scale-space_axioms sameAs Q7429707.
- Scale-space_axioms wasDerivedFrom Scale-space_axioms?oldid=583778050.
- Scale-space_axioms isPrimaryTopicOf Scale-space_axioms.