The B-Spline Channel Representation: Channel Algebra and Channel Based Diffusion Filtering
Michael Felsberg, Hanno Scharr, Per-Erik ForssénLiTH-ISY-R-2461
September 2002
Abstract
In this paper we consider the channel representation based upon quadratic B-splines from a statistical point of view. Interpreting the channel representation as a kernel method for estimating probability density functions, we establish a channel algebra which allows to perform basic algebraic operations on measurements directly in the channel representation. Furthermore, as a central point, we identify the smoothing of channel values with a robust estimator, or equivalently, a diffusion process.
Keywords
channel representation, splines, kernel method, channel algebra, robust estimator, diffusion
Full Paper
Portable document format file PDF (
Bibtex entry
@TechReport{fsf02, author = {Michael Felsberg and Hanno Scharr and Per-Erik Forss\'en}, title = {The {B}-Spline Channel Representation: Channel Algebra and Channel Based Diffusion Filtering}, institution = {Dept. EE, Link\"oping University}, year = {2002}, number = {LiTH-ISY-R-2461}, address = {SE-581 83 Link\"oping, Sweden}, month = {September} }
Per-Erik Forssén
Contact:
Computer Vision Laboratory
Department of Electrical Engineering
Building B
Room 2D:521
SE-581 83 Linköping, Sweden
+46(0)13 285654
< >
My pages:
Page responsible: Per-Erik Forssén
Last updated: 2024-09-28