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.
Texture classification Support vector machines Histogram of oriented gradients
Birincil Dil | İngilizce |
---|---|
Konular | Mühendislik |
Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 23 Şubat 2018 |
Yayımlandığı Sayı | Yıl 2018 Cilt: 18 Sayı: 1 |