Robust system for automated wood inspection

This paper presents a novel machine vision system for quality control of wood planks. A general hardware configuration and suitable processing methods for detection and classification of biological and mechanical defects are proposed. High detection rates at required sped, low-cost and high degree of noise immunity are the main advantages of the proposed system.