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Scale space implementation

In the areas of computer vision, image analysis and signal processing, the notion of scale-space representation is used for processing measurement data at multiple scales, and specifically enhance or suppress image features over different ranges of scale (see the article on scale space). A special type of scale-space representation is provided by the…

Art & Measurement

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Statement of the problem

Separability

The sampled Gaussian kernel

The discrete Gaussian kernel

Recursive filters

Finite-impulse-response (FIR) smoothers

Real-time implementation within pyramids and discrete approximation of scale-normalized derivatives

Other multi-scale approaches

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Scale space implementation

Nodes44
Edges43
Triples0
Avg. degree1.95
Density0.045455
Components1

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gaussian discrete smoothing scale scale-space kernel filter poles zeros recursive filters space approximation approaches scales see kernels signal used data

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