Título:
|
Unsupervised morphological segmentation for images
|
Autor/a:
|
Salembier Clairon, Philippe Jean
|
Otros autores:
|
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
Abstract:
|
This paper deals with a morphological approach to unsupervised image segmentation. The proposed technique relies on a multiscale Top-Down approach allowing a hierarchical processing of the data ranging from the most global scale to the most detailed one. At each scale, the algorithm consists of four steps: image simplification, feature extraction, contour localization and quality estimation. The main emphasis of this paper is to discuss the selection of a simplification filter for segmentation. Morphological filters based on reconstruction proved to be very efficient for this purpose. The resulting unsupervised algorithm is very robust and can deal with very different type of images. |
Abstract:
|
Peer Reviewed |
Materia(s):
|
-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Telecommunication -Image segmentation -Feature extraction -Filters -Partitioning algorithms -Morphology -Image reconstruction -Robustness -Signal processing -Data mining -Filling -Telecomunicació |
Derechos:
|
|
Tipo de documento:
|
Artículo - Versión publicada Objeto de conferencia |
Editor:
|
. IEEE
|
Compartir:
|
|