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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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Broader (1)

Computer vision
Image processingMulti-scale approachesScale spaceScale space implementation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Discrete approximations of affine Gaussian receptive fields
This paper presents a theory for discretizing the affine Gaussian scale-space concept so that scale-space properties hold also… 
2014
2014
Robust multi-scale orientation estimation: Directional filter bank based approach
2014
2014
Notes on Discrete Gaussian Scale Space
Gaussian scale space is a well-known linear multi-scale representation for continuous signals. The exploration of its so-called… 
2013
2013
Robust multi-scale orientation estimation: Spatial domain Vs Fourier domain
Orientation estimation is considered as an important and vital step towards many pattern recognition and image enhancement tasks… 
2012
2012
An Adaptive Diffusion Scheme for Image Restoration and Selective Smoothing
Anisotropic partial differential equation (PDE)-based image restoration schemes employ a local edge indicator function typically… 
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