Prostorno filtriranje slike na realnoj razvojnoj platformi za napredne sustave za pomoć vozaču

Opačak, Kristina

master's thesis

Prostorno filtriranje slike na realnoj razvojnoj platformi za napredne sustave za pomoć vozaču

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. urn:nbn:hr:200:164688

Opačak, Kristina

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Electronics and Microelectronics

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

APA 6th Edition

Opačak, K. (2021). Prostorno filtriranje slike na realnoj razvojnoj platformi za napredne sustave za pomoć vozaču (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:164688

MLA 8th Edition

Opačak, Kristina. "Prostorno filtriranje slike na realnoj razvojnoj platformi za napredne sustave za pomoć vozaču." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:164688

Chicago 17th Edition

Harvard

Opačak, K. (2021). 'Prostorno filtriranje slike na realnoj razvojnoj platformi za napredne sustave za pomoć vozaču', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 13 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:164688

Vancouver

Opačak K. Prostorno filtriranje slike na realnoj razvojnoj platformi za napredne sustave za pomoć vozaču [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2021 [cited 2025 January 13] Available at: https://urn.nsk.hr/urn:nbn:hr:200:164688

IEEE

K. Opačak, "Prostorno filtriranje slike na realnoj razvojnoj platformi za napredne sustave za pomoć vozaču", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:200:164688

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:164688

Metadata

Title	Prostorno filtriranje slike na realnoj razvojnoj platformi za napredne sustave za pomoć vozaču
Title (english)	Image spatial filtering using real development platform for advanced driver assistance systems
Author	Kristina Opačak
Mentor	Marijan Herceg (mentor)
Committee member	Marijan Herceg (predsjednik povjerenstva)
Committee member	Mario Vranješ (član povjerenstva)
Committee member	Ratko Grbić (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Communications) (Chair of Electronics and Microelectronics) Osijek
Defense date and country	2021-09-16, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Telecommunications and Informatics
Abstract	U ovom radu implementirani su i uspoređeni različiti tipovi prostornih filtara. Najprije su predstavljeni osnovni tipovi šuma koji stvaraju potrebu za filtriranjem, a to su: Gaussov, šum „soli i papra“ te kvantni. Nakon toga su predloženi načini suzbijanja istih različitim tipovima filtara te je dan teorijski osvrt na četiri prostorna filtra: medijan, moving average, Gaussov i visokopropusni. Razvijeni algoritmi implementirani su na realnu razvojnu ADAS platformu s prilagođenim C kodom za Alpha ploču i kreiranim slučajevima upotrebe za svaki filtar za 3 različita rasporeda procesora: DSP, A15 i kombinacija dvaju DSP procesora. Dodatne kombinacije filtara i procesora su filtri s različitim veličinama kernela i različitim rezolucijama. Svaka od navedenih kombinacija se testirala na testnom skupu od deset slika. Rezultati su uspoređeni te je utvrđeno da se najbrže izvodi visokopropusni filtar, a najsporije medijan. Ovisno o primjeni, može se koristiti veća rezolucija, ali ona, kao i povećanje veličine kernela, uzrokuje smanjenje brzine izvođenja.
Abstract (english)	In this paper were implemented and compared different types of spatial filters. Firstly, the basic types of noise, which create the need for spatial filters, are described. Common types of noise are: Gaussian, „salt and pepper“ and quantization noise. After that are named and described different types of spatial filters used for reducing noises in digital image. These filters are: median, moving average, Gaussian and highpass filter. The developed algorithms are implemented on a real ADAS development platform with custom C code for Alpha board and created usecases for each filter for three different CPU-s: DSP, A15 and a combination of two DSP CPU-s in parallel. Aditional combinations are three different resolution and three different kernel sizes in each filter. Each of this combinations were tested on a test set of ten images. The results were compared and it was found that high pass filter is the fastest, and median the slowest. Depending on the application, a higher resolution can be used, but it, as well as increasing the kernel size, causes a decrease in execution speed.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:164688
Study programme	Title: UNIVERSITY STUDY AUTOMOBILE COMPUTER AND COMMUNICATION Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija (magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2021-10-05 14:20:47

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