Rice Texture Analysis Using GLCM Features

Abstract

Texture analysis plays an important role in digital image processing. Texture can be considered as a grouping of similarities in an image, because the computer does not have a sense of sight then the computer only knows the pattern of a digital image from its texture characteristics. Texture characteristics of an image can be obtained through the feature extraction process. In this study, we carried out a texture analysis process using the GLCM (Gray level co-occurrence matrices) method on rice images where the rice images that we carried out in groups and not per grain. The results of this study are used to classify the texture of the image of good and damaged rice based on the features of contrast, correlation, energy and homogeneity values with angles of 0°, 45°, 90° and 135°, where the GLCM method applied is able to analyze the texture characteristics of the rice image.