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Parametrični model laserskega profilomera
ID Kuster, Boris (Author), ID Jezeršek, Matija (Mentor) More about this mentor... This link opens in a new window

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MD5: 216CC744DE7870291F969B53373769D6
PID: 20.500.12556/rul/08c18e49-9e4f-4141-a289-2fde87882ce0

Abstract
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 This link opens in a new window
Publication date in RUL:20.09.2017
Views:2589
Downloads:409
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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

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