Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
For students
For employees
Statistics
Login
First page
>
Show document
Show document
Title:
DETEKCIJA UDRTIN NA PLOČEVINI S POMOČJO STROJNEGA VIDA
Authors:
ID
Štefl, Jure
(Author)
ID
Gleich, Dušan
(Mentor)
More about this mentor...
Files:
MAG_Stefl_Jure_2014.pdf
(4,90 MB)
MD5: FA192097C755391A2545A0DDF32B8303
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Namen magistrske naloge je sestaviti metodo za avtomatsko zaznavo udrtin na pločevini avtomobila. Celoten sistem je sestavljen iz tunela v katerem so posebne luči in kamera preko katere zajemamo sliko. Tema naloge se nanaša na področje strojnega vida, kar pomeni, da imamo opravka s programskimi orodji za obdelavo slik. Uporabili smo metode na osnovi hitre Fourierjeve transformacije, valčne transformacije, metod nadzorovanega učenja, filtriranja in še mnogih ostalih potrebnih algoritmov za izboljšanje kakovosti slike. Računalniški program vsako zajeto sliko obdela in na njej označi zaznane udrtine. Rezultat naloge je predstavljen kot video posnetek avtomobila na katerem so označene zaznane udrtine.
Keywords:
strojni vid
,
detekcija
,
udrtine
,
toča
,
avtomobil
,
hitra fourierjeva transformacija
,
valčna transformacija
Place of publishing:
[Maribor
Publisher:
J. Štefl
Year of publishing:
2014
PID:
20.500.12556/DKUM-46642
UDC:
007.52:62-472.3:629.331(043.2)
COBISS.SI-ID:
19170326
NUK URN:
URN:SI:UM:DK:YVBRKNEY
Publication date in DKUM:
30.10.2015
Views:
1812
Downloads:
192
Metadata:
Categories:
KTFMB - FERI
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
ŠTEFL, Jure, 2014,
DETEKCIJA UDRTIN NA PLOČEVINI S POMOČJO STROJNEGA VIDA
[online]. Master’s thesis. Maribor : J. Štefl. [Accessed 18 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=46642
Copy citation
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Searching for similar works...
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Secondary language
Language:
English
Title:
DENTS DETECTION ON THE SHEET METAL USING MACHINE VISION
Abstract:
The purpose of the master's thesis is to create a method for automatic detection of dents on the sheet metal of the car. The entire system consists of a tunnel which contains special lights and cameras. The purpose of the latter is the image capturing. The thesis's theme relates to the field of the machine vision, which means that we are dealing with the software tools for image processing. We used several methods based on the fast Fourier transform, wavelet transform, methods for supervised learning, filtering and many other necessary algorithms for improving image quality. Each captured image is being processed by computer programme and dents are being marked afterwards. The result of the thesis is presented as a video of the car on which are marked locations of the detected dents.
Keywords:
machine vision
,
detection
,
dents
,
hail
,
car
,
Fast Fourier transform
,
Wavelet transform
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
