Color vision based methodology for grading lumber

Abstract

In this paper we describe the outlines of a color vision solution for grading softwood lumber The proposed inspection principle is to recognize the sound wood regions early as this reduces the computational requirements at later stages. This is important because color increases the data volumes significantly over grey scale images. The computational solutions have turned out to be simpler than with grey scale data, compensating for the cost of the more sophisticated imaging system.