Wiener–Granger Causality Theory Supported by a Genetic Algorithm to Characterize Natural Scenery

Wiener–Granger Causality Theory Supported by a Genetic Algorithm to Characterize Natural Scenery

Image recognition and classification have been widely used for research in computer vision systems. This paper aims to implement a new strategy called Wiener-Granger Causality theory for classifying natural scenery images. This strategy is based on self-content images extracted using a Content-Based...

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Bibliographic Details
Main Authors: César Benavides-Álvarez, Juan Villegas-Cortez, Graciela Román-Alonso, Carlos Avilés-Cruz
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Electronics
Subjects:
classification
content–based image retrieval
genetic algorithms
image retrieval
image classification
Wiener-Granger causality
Online Access:https://www.mdpi.com/2079-9292/8/7/726

Internet

https://www.mdpi.com/2079-9292/8/7/726

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