DocumentCode
2334135
Title
Stochastic Analysis of Geometric Image Processing Using B-Splines
Author
Rohde, G.K. ; Healy, D.M., Jr. ; Berenstein, C.A. ; Aldroubi, A. ; Rockmore, D.
Author_Institution
Dept. of Math., Maryland Univ., College Park, MD
Volume
5
fYear
2006
fDate
14-19 May 2006
Abstract
We look at the problem of extracting geometric functions such as spatial transformations and curves delineating edges to subpixel accuracy from noisy, sampled data. We analyze the stochastic properties of continuous B-spline interpolation to show that, in general noisy circumstances, sub-pixel accuracy is not obtainable when using low degree B-splines. Results using magnetic resonance image (MRI) data are shown
Keywords
feature extraction; image resolution; interpolation; magnetic resonance imaging; splines (mathematics); stochastic processes; MRI; continuous B-spline interpolation; curves delineating edges; geometric functions extraction; geometric image processing; magnetic resonance image; spatial transformations; stochastic analysis; subpixel accuracy; Data analysis; Data mining; Image analysis; Image processing; Interpolation; Magnetic analysis; Magnetic noise; Magnetic resonance; Spline; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location
Toulouse
ISSN
1520-6149
Print_ISBN
1-4244-0469-X
Type
conf
DOI
10.1109/ICASSP.2006.1661451
Filename
1661451
Link To Document