Data/hora: 05/06/2024 18:08:55

Provedor de dados: 	5	
País: 	France	
Título: 	The circlet transform: A robust tool for detecting features with circular shapes	
Autores: 	Chauris, H.; Karoui, Imen; Garreau, Pierre; Wackernagel, H.; Craneguy, Philippe; Bertino, L.	
Data: 	2011-03	
Ano: 	2011	
Palavras-chave: 	Circlet transform; Circle detection; Image processing; Multi-scale representation; Computer vision.	
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.	
Tipo: 	Text	
Idioma: 	Inglês	
Identificador: 	http://archimer.ifremer.fr/doc/00033/14451/11752.pdf

DOI:10.1016/j.cageo.2010.05.009	
Editor: 	Pergamon-elsevier Science Ltd	
Relação: 	http://archimer.ifremer.fr/doc/00033/14451/	
Formato: 	application/pdf	
Fonte: 	Computers &amp; Geosciences (0098-3004) (Pergamon-elsevier Science Ltd), 2011-03 , Vol. 37 , N. 3 , P. 331-342	
Fonte: 	2010 Elsevier Ltd All rights reserved.