Title
Signal modeling for two-dimensional image structures
Abstract
This paper presents a novel approach towards two-dimensional (2D) image structures modeling. To obtain more degrees of freedom, a 2D image signal is embedded into a certain geometric algebra. Coupling methods of differential geometry, tensor algebra, monogenic signal and quadrature filter, a general model for 2D image structures can be obtained as the monogenic extension of a curvature tensor. Based on this model, local representations for the intrinsically one-dimensional (i1D) and intrinsically two-dimensional (i2D) image structures are derived as the monogenic signal and the generalized monogenic curvature signal. From the local representation, independent features of local amplitude, phase and orientation are simultaneously extracted. Compared with the other related work, the remarkable advantage of our approach lies in the rotationally invariant phase evaluation of 2D structures, which delivers access to phase-based processing in many computer vision tasks.
Year
DOI
Venue
2007
10.1016/j.jvcir.2006.10.002
J. Visual Communication and Image Representation
Keywords
Field
DocType
general model,curvature tensor,certain geometric algebra,local representation,image structure,monogenic signal,monogenic extension,image signal,two-dimensional image structure,signal modeling,local amplitude,generalized monogenic curvature signal,computer vision,degree of freedom,dissertation,geometric algebra,differential geometry,phase
Topology,Curvature,Coupling,Riemann curvature tensor,Invariant (mathematics),Tensor algebra,Differential geometry,Quadrature filter,Geometric algebra,Mathematics
Journal
Volume
Issue
ISSN
18
1
1047-3203
Citations 
PageRank 
References 
10
0.72
15
Authors
2
Name
Order
Citations
PageRank
Di Zang19812.40
Gerald Sommer226921.93