prikaz prve stranice dokumenta Analiza tekstura u slici
  Download
PDF 1.74 MB
undergraduate thesis
Analiza tekstura u slici
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. urn:nbn:hr:200:747449
Ronta, Hrvoje
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

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

Cite this document

Ronta, H. (2016). Analiza tekstura u slici (Undergraduate 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:200:747449

Ronta, Hrvoje. "Analiza tekstura u slici." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:747449

Ronta, Hrvoje. "Analiza tekstura u slici." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:747449

Ronta, H. (2016). 'Analiza tekstura u slici', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 08 September 2024, https://urn.nsk.hr/urn:nbn:hr:200:747449

Ronta H. Analiza tekstura u slici [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2016 [cited 2024 September 08] Available at: https://urn.nsk.hr/urn:nbn:hr:200:747449

H. Ronta, "Analiza tekstura u slici", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:200:747449

Metadata
TitleAnaliza tekstura u slici
Title (english)Texture analysis in images
AuthorHrvoje Ronta
MentorIrena Galić (mentor)
Committee memberIrena Galić (predsjednik povjerenstva)
Committee memberHrvoje Glavaš (član povjerenstva)
Committee memberKrešimir Fekete (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2016-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
U ovome radu opisani su osnovni pojmovi analize tekstura u slici te četiri glavna problema kod obrade i analize tekstura, klasifikacija, segmentacija, sinteza i dobivanje oblika iz teksture. Teorijski su objašnjene metode za kvantitativni opis teksture, strukturna metoda, statističke metode, metode koje se temelji na modelu i transformacijske metode. U eksperimentalnom dijelu rada riješena su dva problema pomoću MATLAB-a, prvi se zasniva na segmentaciji, a drugi na klasifikaciji. Segmentacija je riješena metodom Gaborovih filtera i grupiranjem algoritmom k-srednjih vrijednosti, a klasifikacija algoritmom za fraktalnu analizu tekstura i naivnim Bayesovim klasifikatorom. Provedeni eksperimenti dali su zadovoljavajuće rezultate
Abstract (english)
This Bachelor thesis describes the basic concepts of texture analysis in the image and four major problems in processing and analysis of textures, classification, segmentation, synthesis and obtaining shape from texture. It also explains methods for quantitative description of textures, structural method, statistical methods, model based methods and transform methods. The experimental part of the paper contains solution for two problems made in MATLAB, the first is based on segmentation and the other on classification. Segmentation is solved by the method of Gabor filters and k-means clustering, while classification is solved by segmentation-based fractal texture analysis algorithm and naive Bayes classifier. Conducted experiments gave satisfactory results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:747449
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 on2016-11-02 10:36:51