Fazifikacija Gaborovog filtra i njena primena u detekciji registarskih tablica

Tadić, Vladimir

Fuzzification of Gabor Filter for License Plate Detection Application

Abstract

Disertacija prikazuje novi algoritam za detekciju i izdvajanje registarskih tablica iz slike vozila koristeći fazi 2D Gaborov filtar. Parametri filtra: orijentacija i talasna dužina su fazifikovani u cilju optimizacije odziva Gaborovog filtra i postizanja dodatne selektivnosti filtra. Prethodno navedeni parametri dominiraju u rezultatu filtriranja. Bellova i trougaona funkcija pripadnosti pokazale su se kao najbolji izbor pri fazifikaciji parametara filtra. Algoritam je evaluiran nad više baza slika i postignuti su zadovoljavajući rezultati. Komponente od interesa su efikasno izdvojene i postignuta značajna otpornost na šum i degradaciju na slici.

The thesis presents a new algorithm for detection and extraction of license plates from a vehicle image using a fuzzy two-dimensional Gabor filter. The filter parameters, orientation and wavelengths are fuzzified to optimize the Gabor filter’s response and achieve a greater selectivity. It was concluded that Bell’s function and triangular membership function are the most efficient methods for fuzzification. Algorithm was evaluated on several databases and has provided satisfactory results. The components of interest were efficiently extracted, and the procedure was found to be very noise-resistant.

Faculty:
University of Novi Sad, Faculty of Technical Science
Date:
06-06-2018

Keywords:

Gaborov filtar / fazi logika / segmentacija slike / prepoznavanje objekata / detekcija registarkih tablica / Gabor filter / fuzzy logic / image segmentation / license plate detection / object recognition

[ Google Scholar ]