DocumentCode :
3006984
Title :
The geometry of 2D image signals
Author :
Wietzke, Lennart ; Sommer, G. ; Fleischmann, Oliver
Author_Institution :
Dept. of Comput. Sci., Kiel Univ., Kiel, Germany
fYear :
2009
fDate :
20-25 June 2009
Firstpage :
1690
Lastpage :
1697
Abstract :
This paper covers a fundamental problem of local phase based signal processing: the isotropic generalization of the classical 1D analytic signal to two dimensions. The well known analytic signal enables the analysis of local phase and amplitude information of 1D signals. Local phase, amplitude and additional orientation information can be extracted by the 2D monogenic signal with the restriction to the subclass of intrinsically one dimensional signals. In case of 2D image signals the monogenic signal enables the rotationally invariant analysis of lines and edges. In this work we present the 2D analytic signal as a novel generalization of both the analytic signal and the 2D monogenic signal. In case of 2D image signals the 2D analytic signal enables the isotropic analysis of lines, edges, corners and junctions in one unified framework. Furthermore, we show that 2D signals exist per se in a 3D projective subspace of the homogeneous conformal space which delivers a descriptive geometric interpretation of signals providing new insights on the relation of geometry and 2D signals.
Keywords :
computational geometry; image processing; 1D analytic signal; 2D analytic signal; 2D image signal; 2D monogenic signal; 3D projective subspace; descriptive geometric signal interpretation; geometry; homogeneous conformal space; invariant analysis; isotropic analysis; isotropic generalization; phase based signal processing; Geometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
Conference_Location :
Miami, FL
ISSN :
1063-6919
Print_ISBN :
978-1-4244-3992-8
Type :
conf
DOI :
10.1109/CVPR.2009.5206784
Filename :
5206784
Link To Document :
بازگشت