Result: Junction and corner detection through the extraction and analysis of line segments
Title:
Junction and corner detection through the extraction and analysis of line segments
Authors:
Source:
Combinatorial image analysis (Auckland, 1-3 December 2004)Lecture notes in computer science. :568-582
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 15 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Mathematics, Mathématiques, 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, Analyse combinatoire, Combinatorial analysis, Análisis combinatorio, Analyse image, Image analysis, Análisis imagen, Classification, Clasificación, Jambe, Leg, Pierna, Modèle géométrique, Geometrical model, Modelo geométrico, Méthode combinatoire, Combinatorial method, Método combinatorio, Segment droite, Line segment, Segmento recta, Segmentation, Segmentación, Structure locale, Local structure, Estructura local, Théorie graphe, Graph theory, Teoría grafo, Traitement image, Image processing, Procesamiento imagen
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Institut für Informatik und Praktische Mathematik, Christian-Albrechts-Universität zu Kiel, Christian-Albrechts-Platz 4, 24118 Kiel, Germany
ISSN:
0302-9743
Rights:
Copyright 2005 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.16368002
Database:
PASCAL Archive
Further Information
An algorithm is presented that analyzes the edge structure in images locally, using a geometric approach. A local edge structure that can be interpreted as a corner or a junction is assumed to be representable by a set of line segments. In a first step a segmentation of the local edge structure into line segments is evaluated. This leads to a graph model of the local edge structure, which can be analyzed further using a combinatorial method. The result is a classification as corner or junction together with the absolute orientation and internal structure, like the opening angle of a corner, or the angles between the legs of a junction. Results on synthetic and real data are given.