Inny tytuł:

Raport Badawczy = Research Report ; RB/24/2005

Wydawca:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Miejsce wydania:

Warszawa

Opis:

12 pages ; 21 cm ; Bibliography p. 10-12

Abstrakt:

In this paper, the influence of usage of the different color models on color image segmentation, is analyzed. A cellular neural network for removing noise and image segmentation of color aerial photographs were applied. Three color models were included and compared: RGB, HSV and HSL. In resulting images some objects like houses, roads, trees and others are distinguished. The selection of the objects is based on the color value. It has been shown that the choice of color model influences the results.

Czasopismo/Seria/cykl:

Raport Badawczy = Research Report

Szczegółowy typ zasobu:

Report

Identyfikator zasobu:

oai:rcin.org.pl:139662

Źródło:

RB-2005-24

Język:

eng

Język streszczenia:

eng

Prawa:

Creative Commons Attribution BY 4.0 license

Zasady wykorzystania:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitalizacja:

Systems Research Institute of the Polish Academy of Sciences

Lokalizacja oryginału:

Library of Systems Research Institute PAS

Dofinansowane ze środków:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Dostęp:

Open