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Title:
Samodejno zaznavanje napak na ulitih vztrajnikih
Authors:
ID
Črešnik, Vid
(
Author
)
ID
Gotlih, Karl
(
Mentor
)
More about this mentor...
ID
Gleich, Dušan
(
Mentor
)
More about this mentor...
Files:
MAG_Cresnik_Vid_2015.pdf
(3,80 MB)
MD5: 292118C104BF32F95C4DE06BE2417881
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FS - Faculty of Mechanical Engineering
Abstract:
Magistrska naloga predstavlja sistem za samostojno zaznavo napak na vlitih vztrajnikih. Cilj naloge je bil preučiti osnove strojnega vida in nato zasnovati sistem, ki bi s kamero v povezavi z računalnikom zajemal sliko vztrajnikov na tekočem traku in na njih prepoznaval morebitne napake. Naloga je posvečena razvoju robustnih algoritmov za prepoznavo napak v določenem območju vztrajnikov. Sistem vsebuje algoritem za zaznavo robov s pomočjo entropijskega upragovanja. V začetnem delu so predstavljene osnove strojnega vida. Osrednji del opisuje segmente sistema, programskega okolja in njegovega delovanja. V zaključku pa so predstavljeni in obrazloženi rezultati opravljenih testiranj.
Keywords:
strojni vid
,
zaznava robov
,
samodejna zaznava napak
Place of publishing:
Maribor
Publisher:
[V. Črešnik]
Year of publishing:
2015
PID:
20.500.12556/DKUM-54612
UDC:
004.93(043.2)
COBISS.SI-ID:
19118358
NUK URN:
URN:SI:UM:DK:1PRR7RDL
Publication date in DKUM:
29.09.2015
Views:
1788
Downloads:
185
Metadata:
Categories:
KTFMB - FS
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Secondary language
Language:
English
Title:
Automatic detection of defects on the cast flywheels
Abstract:
This master thesis represents the system for automatic detection of defects on cast flywheels. The aim of the thesis was to study the basics of machine vision and then design a vision based system that captures the image from camera and detects the potential defects. The work is focused on developing a robust algorithm for fault detection in the region of interest. The system incorporates an edge detector based on entropic thresholding. The start of the work presents the basics of machine vision. The main part describes the individual segments of the system, development environment and the program. The results of tests carried out are presented and explained in conclusion.
Keywords:
machine vision
,
edge detection
,
automatic detection of defects
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