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The circlet transform: A robust tool for detecting features with circular shapes ArchiMer
Chauris, H.; Karoui, Imen; Garreau, Pierre; Wackernagel, H.; Craneguy, Philippe; Bertino, L..
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...
Tipo: Text Palavras-chave: Circlet transform; Circle detection; Image processing; Multi-scale representation; Computer vision.
Ano: 2011 URL: http://archimer.ifremer.fr/doc/00033/14451/11752.pdf
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