Pum-riang thai silk pattern classification using texture analysis

Abstract

Pum-Riang is a type of Thai silk with many patterns. Only experts can identify these patterns on sight. In order to help the general public who are interested in Pum-Riang silk, we propose an automatic Pum-Riang pattern detection using texture analysis. The process is divided into the feature extraction step, feature extraction step, and classifier training step. For each step, we compare various methods and parameters when applicable. The best model is evaluated on a separate test set. It achieves the perfect accuracy of 1.0, indicating that all test samples are correctly classified.