Emets Y. The methods of identification on the base of the multifractal indexes at recognition of noises and textures

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0415U000708

Thesis Registration Form

0415U000708.pdf

Applicant for

Specialization

  • 05.13.23 - Системи та засоби штучного інтелекту

28-02-2015

Specialized Academic Board

К 41.052.08

Odessa National Polytechnic University

Essay

The dissertation is devoted to increasing of the reliability of the classification decision about the type of noises and textures, as well as to increasing of the efficiency of noise parameter estimations by developing methods of identification for a previous analysis of the images in systems of computer recognition of visual patterns based on multifractal parameters

Read more

Files

aref.pdf

dis.pdf

Similar theses

0523U100039

Melnykova Natalya I.

Models and methods for supporting personalized solutions in medical systems.

0421U102573

Vlasenko Oleksandr Mykolayovych

Soft Computing methods and models of risk analysis processes intellectualization

0521U101170

Povkhan Ihor Fedorovych

Methods and principles of constructing discrete object classification trees for data mining.

0521U100926

Pavlyshenko Pavlyshenko Mykhaylovych

Methods of intellectual analysis of consolidated data for decision-making support

0421U101008

Mishchuk Oleksandra Sergijivna

Neural-like methods and tools to forecast the parameters of atmospheric air pollution