Automatic system to improve quality of 2D images based on kohonen classifier

Dawid Połap

Automatic system to improve quality of 2D images based on kohonen classifier

Dawid Połap

Katedra Modelowania Sztucznej Inteligencji (RMS/RMS2)

Wyniki badań: Wkład do czasopisma › Artykuł z konferencji › recenzja

Abstrakt

In this paper, the idea of creating a system to analyze and improve quality of 2D images is presented. Proposed model operates on self-organizing Kohonen network. For this purpose, the method of image processing and preparation of vectors representing the components of the image are described. Tests on various images were made and presented.

Język oryginału	angielski
Strony (od–do)	57-64
Liczba stron	8
Czasopismo	CEUR Workshop Proceedings
Tom	1730
Status publikacji	Opublikowano - 2016
Wydarzenie	2016 Symposium for Young Scientists in Technology, Engineering and Mathematics, SYSTEM 2016 - Gliwice, Polska Czas trwania: 22 wrz 2016 → …

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Cytowanie

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title = "Automatic system to improve quality of 2D images based on kohonen classifier",

abstract = "In this paper, the idea of creating a system to analyze and improve quality of 2D images is presented. Proposed model operates on self-organizing Kohonen network. For this purpose, the method of image processing and preparation of vectors representing the components of the image are described. Tests on various images were made and presented.",

author = "Dawid Po{\l}ap",

note = "Publisher Copyright: {\textcopyright} Copyright 2016 held by the author.; 2016 Symposium for Young Scientists in Technology, Engineering and Mathematics, SYSTEM 2016 ; Conference date: 22-09-2016",

year = "2016",

language = "English",

volume = "1730",

pages = "57--64",

journal = "CEUR Workshop Proceedings",

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TY - JOUR

T1 - Automatic system to improve quality of 2D images based on kohonen classifier

AU - Połap, Dawid

PY - 2016

Y1 - 2016

N2 - In this paper, the idea of creating a system to analyze and improve quality of 2D images is presented. Proposed model operates on self-organizing Kohonen network. For this purpose, the method of image processing and preparation of vectors representing the components of the image are described. Tests on various images were made and presented.

AB - In this paper, the idea of creating a system to analyze and improve quality of 2D images is presented. Proposed model operates on self-organizing Kohonen network. For this purpose, the method of image processing and preparation of vectors representing the components of the image are described. Tests on various images were made and presented.

UR - https://www.scopus.com/pages/publications/84999277952

M3 - Conference article

AN - SCOPUS:84999277952

SN - 1613-0073

VL - 1730

SP - 57

EP - 64

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2016 Symposium for Young Scientists in Technology, Engineering and Mathematics, SYSTEM 2016

Y2 - 22 September 2016

ER -

Automatic system to improve quality of 2D images based on kohonen classifier

Abstrakt

Obszary tematyczne ASJC Scopus

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