prikaz prve stranice dokumenta Segmentacija dubinske slike na ravne i valjkaste površine metodom nasumičnog uzorkovanja
  Download
PDF 6.78 MB
undergraduate thesis
Segmentacija dubinske slike na ravne i valjkaste površine metodom nasumičnog uzorkovanja
2017. urn:nbn:hr:200:287069
Findžanović, Duško
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

Cite this document

Findžanović, D. (2017). Segmentacija dubinske slike na ravne i valjkaste površine metodom nasumičnog uzorkovanja (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:287069

Findžanović, Duško. "Segmentacija dubinske slike na ravne i valjkaste površine metodom nasumičnog uzorkovanja." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:287069

Findžanović, Duško. "Segmentacija dubinske slike na ravne i valjkaste površine metodom nasumičnog uzorkovanja." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:287069

Findžanović, D. (2017). 'Segmentacija dubinske slike na ravne i valjkaste površine metodom nasumičnog uzorkovanja', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 23 July 2022, https://urn.nsk.hr/urn:nbn:hr:200:287069

Findžanović D. Segmentacija dubinske slike na ravne i valjkaste površine metodom nasumičnog uzorkovanja [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2022 July 23] Available at: https://urn.nsk.hr/urn:nbn:hr:200:287069

D. Findžanović, "Segmentacija dubinske slike na ravne i valjkaste površine metodom nasumičnog uzorkovanja", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:287069

Please login to the repository to save this object to your list.
Metadata
TitleSegmentacija dubinske slike na ravne i valjkaste površine metodom nasumičnog uzorkovanja
Title (english)Segmentation of depth images into planar and cylindrical surfaces using Random Sample Consensus method
AuthorDuško Findžanović
MentorRobert Cupec (mentor)
Committee memberRobert Cupec (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Automation and Robotics)
Osijek
Defense date and country2017-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
Izrađen je program za segmentaciju slike na ravne i valjkaste površine slike pomoću RANSAC metode. Kao ulaz se uzima PCD datoteka koja sadrži parametre slike, a kao rezultat program daje 3D prikaz određene segmentacije slike u obliku oblaka točaka, gdje je svaki segment prikazan drugom bojom. Program je pisan u programskom jeziku C++, te se koristio razvojni alat Microsoft Visual Studio 2013. Također koristile su se funkcije i naredbe iz programske biblioteke PCL (Point Cloud Library). Funkcionalnost programa ispitana je na 20 RGB-D slika
Abstract (english)
A program was created for image segmentation into planar and cylindrical surfaces using the RANSAC method is developed. The input to the program is a PCD file and as a result, a 3D visualization of the obtained segmentation is provided, where every segment is depicted with a different color. The program is written in C++ programing language and Microsoft Visual Studio 2013 is used as the main development tool. Furthermore, functions and commands from program library PCL (Point Cloud Library) have also been used. The functionality of the program was tested on 20 RGB-D pictures.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:287069
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2017-11-06 16:52:53