Treffer: Fast homotpy : preserving skeletons using mathematical morphology
Title:
Fast homotpy : preserving skeletons using mathematical morphology
Source:
IEEE transactions on pattern analysis and machine intelligence. 14(6):653-664
Publisher Information:
Los Alamitos, CA: IEEE Computer Society, 1992.
Publication Year:
1992
Physical Description:
print, 41 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, 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, Amincissement, Thinning, Afinamiento, Complexité calcul, Computing complexity, Complejidad cálculo, Homotopie, Homotopy, Homotopía, Image binaire, Binary image, Imagen binaria, Morphologie mathématique, Mathematical morphology, Morfología matemática, Métrique, Metric, Métrico, Stratégie recherche, Search strategy, Estrategia investigación, Système informatique, Computer system, Sistema informático, Traitement image, Image processing, Procesamiento imagen, Transformation échelle, Scale transformation, Transformación escala, Vision ordinateur, Computer vision, Visión ordenador
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
MRC, Western gen. hosp., human genetics unit, Edinburgh, United Kingdom
ISSN:
0162-8828
Rights:
Copyright 1993 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.4302405
Database:
PASCAL Archive
Weitere Informationen
This paper describes two algorithms for skeletonization of 2-D binary images, each of which explicitly separates the two major aspects of skeletonization: 1) the identification of points critical to shape representation and 2) the identification of further points necessary to preserve homotopy. Sets of points critical to shape representation are found by eroding the original image I with a nested sequence of structuring elements Ei, where Eo={O} and Ei ⊂ Ei+1, corresponding to a generalized distance transform.