Title:

Color models in color image segmentation

Subtitle:

Raport Badawczy = Research Report ; RB/24/2005

Creator:

Wilbik, Anna

Publisher:

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

Place of publishing:

Warszawa

Date issued/created:

2005

Description:

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

Subject and Keywords:

Sieci neuronowe ; Color models in color image segmentation ; Color image processing ; Cellular neural networks ; Modele barw w algorytmach segmentacji obrazów barwnych ; Przetwarzanie obrazów barwnych ; Segmentacja obrazów barwnych ; Modele barw

Abstract:

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.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2005-24

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

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: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

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.

Access:

Open