Evolutionary Design of Problem-Adapted Image Descriptors for Texture Classification

Evolutionary Design of Problem-Adapted Image Descriptors for Texture Classification

Effective texture classification requires image descriptors capable of efficiently detecting, extracting, and describing the most relevant information in the images, so that, for instance, different texture classes can be distinguished despite image distortions such as varying illuminations, viewpoi...

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Bibliographic Details
Main Authors: Valentin Calzada-Ledesma, Hector J. Puga-Soberanes, Manuel Ornelas-Rodriguez, Alfonso Rojas-Dominguez, Juan Martin Carpio-Valadez, Andres Espinal, Jorge A. Soria-Alcaraz, Marco A. Sotelo-Figueroa
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Image texture analysis
image classification
classification algorithms
genetic programming
evolutionary computation
Online Access:https://ieeexplore.ieee.org/document/8417408/

Internet

https://ieeexplore.ieee.org/document/8417408/

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