Classification of Texture Using Multi Texton Histogram and Probabilistic Neural Network
Agus Eko Minarno, Yuda Munarko, Arrie Kurniawardhani, Fitri Bimantoro · IOP Conference Series Materials Science and Engineering · 2016
Image classification plays an important rule for other image domains such as image retrieval, object recognition, image annotation and relevance feedback. In this paper, we describe our work in image classification using Multi Texton Histogram (MTH) and Probabilistic Neural Network (PNN). The result shows that the proposed method reaches 92% accuracy for Batik dataset and 98% for Brodatz dataset. This indicates that the use of MTH and PNN for image classification for Batik dataset and Brodatz dataset are effective.