Authors:
Magnus Evestedt
and
Alexander Medvedev
Affiliation:
Uppsala University, Sweden
Keyword(s):
Image analysis, feature extraction, model-based application, image sampling.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Model-Based Object Tracking in Image Sequences
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Signal Processing, Sensors, Systems Modeling and Control
;
Software Engineering
;
Surface Geometry and Shape
;
Video Analysis
Abstract:
A water model is studied to simulate physical phenomena in the Lintz-Donawitz steel converter. The depression in the liquid, due to the impinging gas jet, is measured by means of a video camera. Image processing tools are used to extract the edge of the surface indentation. The measured edge, sampled in a special way, is used together with a nonlinear mathematical model to obtain a description of the cavity profile. The parameters of the mathematical model are optimized to match the registered cavity edge in the image at a set of sampled points. Three ways of choosing sampling points for the optimization are proposed and compared on simulated as well as experimental data. An approach involving an observer decreases the computation time with an acceptable loss of accuracy of the estimates.