Classification of Texture Images Based on the Histogram of Oriented Gradients Using Support Vector Machines

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Tarih

2018

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Istanbul Univ, Fac Engineering

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

Herein, using support vector machines, texture images were classified based on the histogram of oriented gradients, from which feature vectors were obtained. In addition, the success rate was examined for the feature vectors with different dimensions and the minimum length of a feature vector for performing classification was determined to be 288 elements.

Açıklama

Anahtar Kelimeler

Texture classification, Support vector machines, Histogram of oriented gradients

Kaynak

Electrica

WoS Q Değeri

N/A

Scopus Q Değeri

Q3

Cilt

18

Sayı

1

Künye