Texture Classification using Random Forest Classifier based on Local Vector Quantization Pattern

Abstract

The Nearest Neighbor (NN) Classifier is the fundamental and simplest algorithm used for classification. It has successfully been used in classification and pattern recognition applications, such as texture recognition. However, it has a disadvantage that it has lower predictive accuracy. In order to overcome these disadvantages, we propose a new… (More)

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Cite this paper

@inproceedings{Antony2016TextureCU, title={Texture Classification using Random Forest Classifier based on Local Vector Quantization Pattern}, author={Anumol Antony}, year={2016} }