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Article Dans Une Revue Computers & Geosciences Année : 2011

The circlet transform: a robust tool for detecting features with circular shapes

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Hervé Chauris
Hans Wackernagel
Philippe Craneguy
  • Fonction : Auteur
L. Bertino
  • Fonction : Auteur

Résumé

We present a novel method for detecting circles on digital images. This transform is called the circlet transform and can be seen as an extension of classical 1D wavelets to 2D; each basic element is a circle convolved by a 1D oscillating function. In comparison with other circle-detector methods, mainly the Hough transform, the circlet transform takes into account the finite frequency aspect of the data; a circular shape is not restricted to a circle but has a certain width. The transform operates directly on image gradient and does not need further binary segmentation. The implementation is efficient as it consists of a few fast Fourier transforms. The circlet transform is coupled with a soft-thresholding process and applied to a series of real images from different fields: ophthalmology, astronomy and oceanography. The results show the effectiveness of the method to deal with real images with blurry edges.

Dates et versions

hal-00574554 , version 1 (08-03-2011)

Identifiants

Citer

Hervé Chauris, Imen Karoui, Pierre Garreau, Hans Wackernagel, Philippe Craneguy, et al.. The circlet transform: a robust tool for detecting features with circular shapes. Computers & Geosciences, 2011, 37 (3), pp.331-342. ⟨10.1016/j.cageo.2010.05.009⟩. ⟨hal-00574554⟩
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