Seminarium i Matematisk statistik fredagen den 25 september kl 13.15
MH227

Ola Wassvik presenterar sitt examensarbete

De-noising and analysis of simulated intensity distributions from
non-imaging systems

Abstract

Non-parametric regression methods are often used in statistics. The hand
width selection method in these methods is often crucial for outcome. In
this thesis we are suggesting a method for choosing the local bandwidth
adaptively from the data. Thus we get a method that requires minimal
input from the operator. This regression method is then used for
estimating light distributions in the design process of a machine vision
illumination system. Simulated and measured datasets are used to study
the estimation procedure. We study the restrictions and future uses for
the procedure. Parameter restrictions are found and we suggest continued
improvements.