Classification of Texture Images Based on the Histogram of Oriented Gradients Using Support Vector Machines
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Dosyalar
Tarih
2018
Yazarlar
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