undergraduate thesis
Texture analysis in images

Hrvoje Ronta (2016)
Sveučilište Josipa Jurja Strossmayera u Osijeku
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Zavod za programsko inženjerstvo
Katedra za vizualno računarstvo
Metadata
TitleAnaliza tekstura u slici
AuthorHrvoje Ronta
Mentor(s)Irena Galić (thesis advisor)
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
Keywordstextures classification segmentation synthesis shape from texture regions methods Gabor filter clustering kmeans fractal Bayes
Parallel title (English)Texture analysis in images
Committee MembersIrena Galić (committee chairperson)
Hrvoje Glavaš (committee member)
Krešimir Fekete (committee member)
GranterSveučilište Josipa Jurja Strossmayera u Osijeku
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Lower level organizational unitsZavod za programsko inženjerstvo
Katedra za vizualno računarstvo
PlaceOsijek
StateCroatia
Scientific field, discipline, subdisciplineTECHNICAL SCIENCES
Computing
Process Computing
Study programme typeuniversity
Study levelundergraduate
Study programmeUndergraduate University Study Programme in Computer Engineering
Academic title abbreviationuniv.bacc.ing.comp.
Genreundergraduate thesis
Language Croatian
Defense date2016-09-12
Parallel 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.
Parallel keywords (Croatian)teksture klasifikacija segmentacija sinteza dobivanje oblika iz teksture regije metode Gaborov filter klasterizacija kmeans fraktal Bayes
Resource typetext
Access conditionOpen access
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
URN:NBNhttps://urn.nsk.hr/urn:nbn:hr:200:747449
CommitterAnka Ovničević