M. S. Thesis Abstract
A Methodology for Generating Physically Accurate Synthetic Images for Machine Vision Applications
Johné Michelle Parker
The design of a computer vision system for part presentation is a complex problem. To design an efficient low-cost system, the interdependence of the system hardware and software must be ocnsidered. Numerical simulation can be a powerful aid in examining the performance of an integrated hardware/software system. However, numerical simulation requires a method to generate physically accurate synthetic images that simulate the images captured by the vision system. This paper describes a methodology for generating the required physically accurate images. A comparison of synthetic images to images captured using an existing machine vision system is also done.