The implementation of k-means algorithm to determine the quality of teak wood in image based on the texture

Abstract

Abstract Teak is a type of tree that produces high quality wood. Large tree, straight trunk, can grow to a height of 30-40 m. In the developing teak parquet industry, the process of selecting raw materials is very important. This is due to the many types, types and classes of wood texture. The choice of wood texture is still widely used by human workers, most of which require a long time and the results obtained are still inaccurate. This study aims to solve the problem of quality teak grouping based on image texture by creating a computerized system or application using the K-means algorithm. With this method, it is hoped that the classification of the quality of teak can be described more easily based on the texture of the image. Based on the results of system design and testing, the application can group the quality of teak wood based on the texture and color of the image