Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
Edge Detection by Sliding Wedgelets
verfasst von : Agnieszka Lisowska
Erschienen in: Image Analysis and Recognition
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In this paper the sliding wedgelet algorithm is presented together with its application to edge detection. The proposed method combines two theories: image filtering and geometrical edge detection. The algorithm works in the way that an image is filtered by a sliding window of different scales. Within the window the wedgelet is computed by the use of the fast moments-based method. Depending on the difference between two wedgelet parameters the edge is drawn. In effect, edges are detected geometrically and multiscale. The computational complexity of the sliding wedgelet algorithm is
O
(
N
2
) for an image of size
N
×
N
pixels. The experiments confirmed the effectiveness of the proposed method, also in the application to noisy images.