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

Year 2018, Volume: 18 Issue: 1, 90 - 94, 23.02.2018

Hasan Demir

Abstract

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. 

Keywords

Texture classification, Support vector machines, Histogram of oriented gradients

References

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