Spletno okolje za preizkušanje algoritmov predobdelave digitalnih slik

JERAJ, ANŽE (author), Trost, Andrej (mentor)

Specialistično delo obravnava osnovne algoritme s področja predobdelave digitalne slike: transformacijo sivinskih nivojev, prostorsko filtriranje, glajenje slike in zaznavanje robov. Predstavitev delovanja algoritmov na majhnih sivinskih slikah smo naredili v obliki spletnih strani z uporabo tehnologij HTML in JavaScript. Program v jeziku JavaScript omogoča obdelavo slik, ki so že vnaprej pripravljene, opisali pa smo tudi, kako se dodajo nove poljubne slike. Program je narejen tako, da lahko spreminjamo koeficiente pri osnovnih transformacijah, kot so logaritemska in potenčna. Pri prostorskih transformacijah lahko v programu spreminjamo maske in tako dosežemo želen učinek. Izhodni podatki se izvozijo in uporabijo pri simulaciji digitalnih vezij. Na koncu je predstavljen še postopek načrtovanja vezij za algoritem Gaussovega sita.

• Language: Slovenian
• Keywords: Digitalna obdelava slik, transformacija sivinskih nivojev, prostorsko filtriranje, glajenje slike, zaznavanje robov
• Work type: Specialist thesis
• Organization: FE - Faculty of Electrical Engineering
• Year: 2016
• PID: 20.500.12556/RUL-81535
• Publication date in RUL: 12.04.2016

JERAJ, ANŽE, 2016, Spletno okolje za preizkušanje algoritmov predobdelave digitalnih slik [online]. Specialist thesis. [Accessed 26 March 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=81535

Secondary language

• Language: English
• Title: Website Environment for Testing Digital Image Preprocessing Algorithms

Abstract

The work presents basic algorithms related to the area of digital image pre- processing: transformation of the grey scale levels, spatial filtering, image smoothing and edge detection. In order to demonstrate the effects of the image processing algorithms, we developed web pages based on HTML and JavaScript. The JavaScript program implements digital image processing operations on the already prepared images and we describe the process of adding any new image. The program allows setting the coefficients of the basic transformations, such as logarithm and power-law transformation. In case of spatial transformations, masks can be changed according to the desired image processing effect. The output data can be exported and used for simulation of digital circuits. Finally, we present the digital circuit design process for the Gaussian filter algorithm.

• Keywords: Digital image processing, gray level transformation, spatial filtering, image smoothing, edge detection.