A method of image classification by using multidimensional scaling

Hernández Perdomo, Wilmar and Méndez Alonso, Alfredo and Ballesteros Olmo, Francisco and González Posadas, Vicente and Jiménez Martín, José Luis and Tyrsa, Vera and Ivanov, Mykhailo and Ruiz Pico, Ángel Antonio and 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:
  • Hernández Perdomo, Wilmar
  • Méndez Alonso, Alfredo
  • Ballesteros Olmo, Francisco
  • González Posadas, Vicente
  • Jiménez Martín, José Luis
  • Tyrsa, Vera
  • Ivanov, Mykhailo
  • Ruiz Pico, Ángel Antonio
  • Camejo, Iván Menes
  • Quezada Sarmiento, Pablo Alejandro
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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