Result: The monogenic curvature scale-space

Title:
The monogenic curvature scale-space
Authors:
DI ZANG, SOMMER, Gerald
Source:
Combinatorial image analysis (11th International Workshop, IWCIA 2006, Berlin, Germany, June 19-21, 2006)0IWCIA 2006. :320-332
Publisher Information:
Berlin; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 22 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, Analyse combinatoire, Combinatorial analysis, Análisis combinatorio, Analyse image, Image analysis, Análisis imagen, Courbure, Curvature, Curvatura, Espace échelle, Scale space, Espacio escala, Extraction forme, Pattern extraction, Extracción forma, Fonction harmonique, Harmonic function, Función armónica, Harmonique sphérique, Spherical harmonic, Armónica esférica, Invariant, Invariante, Modélisation, Modeling, Modelización, Méthode tensorielle, Tensor method, Método tensorial, Processus Gauss, Gaussian process, Proceso Gauss, Quadrature, Cuadratura, Vision ordinateur, Computer vision, Visión ordenador
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Cognitive Systems Group Institute of Computer Science and Applied Mathematics Christian Albrechts University of Kiel, 24118 Kiel, Germany
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19131714
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
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19131714
Database:
PASCAL Archive

Further Information

In this paper, we address the topic of monogenic curvature scale-space. Combining methods of tensor algebra, monogenic signal and quadrature filter, the monogenic curvature signal, as a novel model for intrinsically two-dimensional (i2D) structures, is derived in an algebraically extended framework. It is unified with a scale concept by employing damped spherical harmonics as basis functions. This results in a monogenic curvature scale-space. Local amplitude, phase and orientation, as independent local features, are extracted. In contrast to the Gaussian curvature scale-space, our approach has the advantage of simultaneous estimation of local phase and orientation. The main contribution is the rotationally invariant phase estimation in the scale-space, which delivers access to various phase-based applications in computer vision.