Daurat Sinaga

A Classification of Batik Lasem using Texture Feature Ecxtraction Based on K-Nearest Neighbor

2019 · Journal of Applied Intelligent System

In this study, batik has been modeled using the GLCM method which will produce features of energy, contrast, correlation, homogenity and entropy. Then these features are used as input for the classification process of training …