Morphological tools for segmentation: connected operators and watersheds
Ver/Abrir
Morphological tools for segmentation.pdf (3,004Mb) (Acceso restringido)
Solicitud de copia al autor
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Cita com:
hdl:2117/97945
Tipo de documentoArtículo
Fecha de publicación1997-08
Condiciones de accesoAcceso restringido por política de la editorial
Salvo que se indique lo contrario, los contenidos
de esta obra estan sujetos a la licencia de Creative Commons
:
Reconocimiento-NoComercial-SinObraDerivada 3.0 España
Resumen
The paper makes a survey of the morphological tools which are useful for image simplification and segmentation. It starts presenting the connected filters, which have the unique feature to simplify the images without blurring the contours of the remaining objects. Such filters may be constructed on several criteria : size, contrast, complexity or type of motion. In the case where geometric criteria are used, it is possible to base a scale-space description of the images on a series of increasing filters. This is most useful when applied to a gradient image : successive filters will progressively fill the valleys of the gradient image and a watershed transform applied on these images will produce segmentations which are coarser and coarser. These segmentations have a tree structure : from a finer level to a coarser level, only fusions take place.
CitaciónMeyer, F., Oliveras, A., Salembier, P., Vachier, C. Morphological tools for segmentation: connected operators and watersheds. "Annales des télecommunications. Annals of telecommunications", Agost 1997, vol. 52, núm. 7-8, p. 366-379.
ISSN0003-4347
Ficheros | Descripción | Tamaño | Formato | Ver |
---|---|---|---|---|
Morphological tools for segmentation.pdf![]() | 3,004Mb | Acceso restringido |