A machine vision system for inspecting wood surface defects by using neural network

Abstract

With the development of wood industry, the processing of wood products become more significant. This paper discusses the development of machine vision system used to inspect and classify the various types of defects of wood surface. The surface defects means the variations of colour and texture. The machine vision system is to detect undesirable “defects” that can appear on the surface of rough wood lumber. A neural network was used within the Blackboard framework for a labeling verification step of the high-level recognition module of vision system. The system has been successfully tested on a number of boards from several different species.