Parametrični model laserskega profilomera

Kuster, Boris (author), Jezeršek, Matija (mentor)

Zaključna naloga obravnava problem določitve lastnosti laserskega triangulacijskega profilomera, kot so velikost in pozicija merilnega območja ter ločljivost v mejah merilnega območja ob poljubnih geometrijskih in komponentnih parametrih. V nalogi smo predstavili teoretične osnove ter prednosti in slabosti metode laserske profilometrije. Za razvoj matematičnega modela smo uporabili postopek preslikave žarka iz posamezne slikovne točke na senzorju kamere na merilno območje ter postopek določitve ločljivosti slikovne točke. Izdelali smo program, ki ob podanih parametrih določi merilno območje in ločljivost merilnika.

• Language: Slovenian
• Keywords: laserski profilomer, laserska triangulacija, 3D izmera oblike predmeta, merilno območje, ločljivost slikovne točke, strojni vid
• Work type: Bachelor thesis/paper
• Organization: FS - Faculty of Mechanical Engineering
• Year: 2017
• PID: 20.500.12556/RUL-95483
• Publication date in RUL: 20.09.2017

KUSTER, Boris, 2017, Parametrični model laserskega profilomera [online]. Bachelor’s thesis. [Accessed 29 March 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=95483

Secondary language

• Language: English
• Title: Parametric laser profilometry model

Abstract

The thesis deals with the problem of finding a laser profilometer system's properties, such as position and size of measurement area as well as resolution, given a set of geometric and component parameters. In this thesis we present theoretical basics, advantages and disadvantages of laser profilometry. To develop a mathematical model, we used the process of mapping a pixel's location on the camera sensor to its position on the measurement area, which also enables us to calculate a particular pixel's resolution. We created a program that calculates the measurement area and meter resolution given a set of parameters.

• Keywords: laser profilometer, laser triangulation, 3D object shape measurement, measuring range, pixel resolution, machine vision