On the Influence of Scale Selection on Feature Detection for the Case of Linelike Structures

Authors:
Peter Majer
Affiliations:
Bitplane AG, Badenerstr. 682, 8048 Zürich, Switzerland. majer@bitplane.com
Venue:
International Journal of Computer Vision
Year:
2004

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Abstract

A method to automatically select locally appropriate scales for feature detection, proposed by Lindeberg (1993b, 1998), involves choosing a so-called γ-parameter. The implications of the choice of γ-parameter are studied and it is demonstrated that different values of γ can lead to qualitatively different features being detected. As an example the range of γ-values is determined such that a second derivative of Gaussian filter kernel detects ridges but not edges. Some results of this relatively simple ridge detector are shown for two-dimensional images.