Feature extraction for defect classification in surfaces of wooden boards

Abstract

The aim of this work is to apply spatial gray level dependence method (SGLDM) for feature extraction of wooden boards. Those boards are used in industrial process of pencil production. The texture shows the board quality in respect of nodes, stripes, and defects that causes rejection in the product quality control. The results are discussed and the potential application in an industrial plant is evaluated.