Deep Learning and Entropy-Based Texture Features for Color Image Classification

Deep Learning and Entropy-Based Texture Features for Color Image Classification

In the domain of computer vision, entropy—defined as a measure of irregularity—has been proposed as an effective method for analyzing the texture of images. Several studies have shown that, with specific parameter tuning, entropy-based approaches achieve high accuracy in terms of classification resu...

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Bibliographic Details
Main Authors: Emma Lhermitte, Mirvana Hilal, Ryan Furlong, Vincent O’Brien, Anne Humeau-Heurtier
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Entropy
Subjects:
biomedical data
classification
deep learning
entropy
RGB images
texture
Online Access:https://www.mdpi.com/1099-4300/24/11/1577

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