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

Hasan Demir

Makale detayları

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

Yazarlar:

Hasan Demir

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Electrica 2018 Vol.18 Issue 1, pp.90-94

Belge Tipi:

Makale

Yayın Tarihi:

2/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000777710

Sıklık:

İki Yıllık

eISSN:

2619-9831

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. 


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Makale detayları

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

Yazarlar: Hasan Demir

Yayıncı: İstanbul University-Cerrahpasa

Ana Başlıklar: Uygulamalı fizik

Dergi: Electrica 2018 Vol.18 Issue 1, pp.90-94

Belge Tipi: Makale

Yayın Tarihi: 2/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000777710

Sıklık: İki Yıllık

eISSN: 2619-9831

Sayı

Yazarlar:

Hasan Demir

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Electrica 2018 Vol.18 Issue 1, pp.90-94

Belge Tipi:

Makale

Yayın Tarihi:

2/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000777710

Sıklık:

İki Yıllık

eISSN:

2619-9831