Affiliations: [a] Department of Electrical Apparatus, Technical
University of Sofia, Sofia 1756, Bulgaria | [b] College of Engineering, Hosei University, 3-7-2
Kajino, Koganei, Tokyo 184-8584, Japan
Correspondence:
[*]
Corresponding author: Iliana Marinova, Department of Electrical
Apparatus, Technical University of Sofia, Sofia 1756, Bulgaria. Tel.: +359 2
965 3873; Fax: +359 2 683 215; E-mail: iliana@ea.vmei.acad.bg
Abstract: The purpose of this article is to apply an inverse approach for
image reconstruction during electromagnetic field visualization. The
reconstruction of the images is formulated as an inverse problem. For the image
color model, the Poisson equation with open boundary condition is imposed. The
color source densities have been evaluated from the color distributions for
electromagnetic field data set. The Generalized Vector Sampled Pattern Matching
method is applied to solve an ill posed linear system of equations for the
corresponding inverse problem. The new color distributions are generated and
visualized using the obtained color source densities. With the proposed inverse
approach the dark parts of the images can be reduced or completely removed.
This article collects several examples for electromagnetic field visualization
of the most commonly used sensor coil.
