| Registro completo |
| Provedor de dados: |
ArchiMer
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| País: |
France
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| Título: |
The circlet transform: A robust tool for detecting features with circular shapes
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| Autores: |
Chauris, H.
Karoui, Imen
Garreau, Pierre
Wackernagel, H.
Craneguy, Philippe
Bertino, L.
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| Data: |
2011-03
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| Ano: |
2011
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| Palavras-chave: |
Circlet transform
Circle detection
Image processing
Multi-scale representation
Computer vision
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| Resumo: |
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.
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| Tipo: |
Text
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| Idioma: |
Inglês
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| Identificador: |
http://archimer.ifremer.fr/doc/00033/14451/11752.pdf
DOI:10.1016/j.cageo.2010.05.009
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| Editor: |
Pergamon-elsevier Science Ltd
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| Relação: |
http://archimer.ifremer.fr/doc/00033/14451/
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| Formato: |
application/pdf
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| Fonte: |
Computers & Geosciences (0098-3004) (Pergamon-elsevier Science Ltd), 2011-03 , Vol. 37 , N. 3 , P. 331-342
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| Direitos: |
2010 Elsevier Ltd All rights reserved.
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