Segmentacija dubinske slike na ravne i valjkaste površine metodom nasumičnog uzorkovanja

Findžanović, Duško

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

APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

Harvard

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 29 November 2022, https://urn.nsk.hr/urn:nbn:hr:200:287069

Vancouver

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 November 29] Available at: https://urn.nsk.hr/urn:nbn:hr:200:287069

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:287069

Please login to the repository to save this object to your list.

Metadata

Title	Segmentacija 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
Author	Duško Findžanović
Mentor	Robert Cupec (mentor)
Committee member	Robert Cupec (predsjednik povjerenstva)
Committee member	Zdravko Krpić (član povjerenstva)
Committee member	Alfonzo Baumgartner (član povjerenstva)
Granter	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) Osijek
Defense date and country	2017-09-27, 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)
Language	croatian
URN:NBN	urn:nbn:hr:200:287069
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2017-11-06 16:52:53