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Scale-space axioms

Known as: Scale space axioms 
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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
This paper presents a theory for discretizing the affine Gaussian scale-space concept so that scale-space properties hold also… 
2014
2014
Gaussian scale space is a well-known linear multi-scale representation for continuous signals. The exploration of its so-called… 
2013
2013
Orientation estimation is considered as an important and vital step towards many pattern recognition and image enhancement tasks… 
2012
2012
Anisotropic partial differential equation (PDE)-based image restoration schemes employ a local edge indicator function typically… 
Review
2009
Review
2009
Multiscale approaches have been largely considered in several signal processing applications. They play an important role when… 
2007
2007
A family of spatio-temporal scale-spaces suitable for a moving observer is developed. The scale-spaces are required to be time… 
2003
2003
We consider α scale spaces, a parameterized class (α ∈ (0, 1]) of scale space representations beyond the well-established… 
Highly Cited
1992
Highly Cited
1992
  • P. Jackway
  • 1992
  • Corpus ID: 61373799
Scale-space is an important recent concept used in image processing and pattern recognition. Traditional scale-space is generated…