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Machine Vision and Applications

, Volume 9, Issue 4, pp 139–159 | Cite as

Edges: saliency measures and automatic thresholding

  • Paul L. Rosin

Abstract.

Edges are useful features for structural image analysis, but the output of standard edge detectors must be thresholded to remove the many spurious edges. This paper describes experiments with both new and old techniques for: 1. determining edge saliency (as alternatives to gradient magnitude) and 2. automatically determining appropriate edge threshold values. Some examples of edge saliency measures are lifetime, wiggliness, spatial width, and phase congruency. Examples of thresholding techniques use: the Rayleigh distribution to model the edge gradient magnitude histogram, relaxation labelling, and an edge curve “length”–“average gradient magnitude” feature space.

Key words:Edge – Automatic threshold – Saliency assessment 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Paul L. Rosin
    • 1
  1. 1.Department of Computer Science and Information Systems, Brunel University, Uxbridge, Middlesex UB8 3PH, UK e-mail: Paul.Rosin@brunel.ac.ukGB

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