A method of image classification by using multidimensional scaling

Hernández Perdomo, Wilmar, Méndez Alonso, Alfredo ORCID: https://orcid.org/0000-0002-9732-2131, Ballesteros Olmo, Francisco, González Posadas, Vicente ORCID: https://orcid.org/0000-0002-0873-1364, Jiménez Martín, José Luis ORCID: https://orcid.org/0000-0002-1857-5369, Tyrsa, Vera, Ivanov, Mykhailo, Ruiz Pico, Ángel Antonio, Camejo, Iván Menes and Quezada Sarmiento, Pablo Alejandro (2019). A method of image classification by using multidimensional scaling. In: "2019 IEEE 28th InternationalSymposium on Industrial Electronics", 12 al 14 de junio de 2019, Vancouver, Canada. pp. 5419-5425.

Description

Title: A method of image classification by using multidimensional scaling
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2019 IEEE 28th InternationalSymposium on Industrial Electronics
Event Dates: 12 al 14 de junio de 2019
Event Location: Vancouver, Canada
Title of Book: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
Date: 2019
Subjects:
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, a method for image classification based on multidimensional scaling (MDS) is presented. Once the image has been fragmented into smaller cells and the wavelet decomposition has also been performed, up to a certain level, statistics are obtained from the new cells with the aim of constructing vectors of characteristics of the original image. Then, these vectors are grouped in a matrix and the MDS of said matrix is performed. Finally, the principal coordinates of the MDS indicate the proximity between vectors and, therefore, between images.

More information

Item ID: 64507
DC Identifier: https://oa.upm.es/64507/
OAI Identifier: oai:oa.upm.es:64507
Deposited by: Memoria Investigacion
Deposited on: 12 Feb 2021 11:49
Last Modified: 12 Feb 2021 11:49
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