A method to classify digital images by means of statistics of a wavelet decomposition

Hernández Perdomo, Wilmar and Méndez Alonso, Alfredo and Ballesteros Olmo, Francisco and Gonzalez Posadas, Vicente and Jimenez Martin, Jose Luis and Chinchero, Héctor and Acosta Vargas, Patricia and Zalakeviciute, Rasa (2019). A method to classify digital images by means of statistics of a wavelet decomposition. In: "2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)", 12 al 14 de junio de 2019, Vancouver, Canada. pp. 1669-1674. https://doi.org/10.1109/ISIE.2019.8781229..

Description

Title: A method to classify digital images by means of statistics of a wavelet decomposition
Author/s:
  • Hernández Perdomo, Wilmar
  • Méndez Alonso, Alfredo
  • Ballesteros Olmo, Francisco
  • Gonzalez Posadas, Vicente
  • Jimenez Martin, Jose Luis
  • Chinchero, Héctor
  • Acosta Vargas, Patricia
  • Zalakeviciute, Rasa
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
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

There is a wide variety of methods for the analysis of textures and the extraction of image characteristics based on wavelet decomposition. The objective of this paper is to find a vector of characteristics of each image and to determine a classification among them using principal component analysis. The procedures presented here are for classifying test images. After fragmenting the image, a wavelet decomposition of the fragmented images is performed both in scale and in orientation. To characterize the images, statistics of marginal and joint distributions based on local neighborhoods of spatial, orientation and scale type are used.

More information

Item ID: 64506
DC Identifier: https://oa.upm.es/64506/
OAI Identifier: oai:oa.upm.es:64506
DOI: 10.1109/ISIE.2019.8781229.
Official URL: https://ieeexplore.ieee.org/document/8781229
Deposited by: Memoria Investigacion
Deposited on: 12 Feb 2021 10:15
Last Modified: 12 Feb 2021 10:15
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