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Feature detection in scale-space

  • Tony Lindeberg
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 256)

Abstract

The treatment in previous chapters gives a formal justification for using linear filtering as an initial step in early processing of image data. More important, it provides a catalogue of what filter kernels are natural to use, as well as an extensive theoretical explanation of how smoothing kernels of different order and at different scales can be related. In particular, the discretization problem is extensively treated. This forms the basis for a theoretically well-founded modelling of the smoothing operation.

Keywords

Directional Derivative Local Extremum Gradient Direction Gradient Magnitude Differential Invariant 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1994

Authors and Affiliations

  • Tony Lindeberg
    • 1
  1. 1.Royal Institute of TechnologyStockholmSweden

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