Result: Watershed segmentation with chamfer metric
Title:
Watershed segmentation with chamfer metric
Authors:
Source:
Discrete geometry for computer imagery (13th International conference, DGCI 2006, Szeged, Hungary, October 25-27, 2006)0DGCI 2006. :518-529
Publisher Information:
Berlin; Heidelberg; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 10 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Algorithme partage des eaux, Watershed algorithm, Algoritmo divisoria de aguas, Bassin versant, Watershed, Cuenca, Chanfrein, Taper, Avellanado, Chemin graphe, Graph path, Camino grafo, Distance minimale, Minimal distance, Distancia mínima, File attente, Queue, Fila espera, Forêt graphe, Forest(graph), Bosque grafo, Géométrie discrète, Discrete geometry, Geometría discreta, Image niveau gris, Grey level image, Imagen nivel gris, Morphologie mathématique, Mathematical morphology, Morfología matemática, Métrique, Metric, Métrico, Segmentation image, Image segmentation, Traitement image, Image processing, Procesamiento imagen
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
National Center of Information Resources and Technologies, National Academy of Sciences of Belarus, Akademicheskaja 25, 220072 Minsk, Belarus
United Institute of Informatics Problems, National Academy of Sciences of Belarus, Surganova 6, 220012 Minsk, Belarus
United Institute of Informatics Problems, National Academy of Sciences of Belarus, Surganova 6, 220012 Minsk, Belarus
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19150526
Database:
PASCAL Archive
Further Information
Watershed transformation is introduced as a computation in image graph of a path forest with minimal modified topographic distance in (R+)2. Two algorithms are presented for image segmentation that use a metric defined by a unit neighborhood as well as a chamfer (a, b)-metric. The algorithms use ordered queues to propagate over image pixels simulating the process of flooding. Presented algorithms can be applied to gray-scale images where objects have noticeable boundaries.