Wood-Surface Feature Classification Using Extended-Color Information

(Mirb.) Franco) veneer can be accurately classified via visible-region spectral-reflectance curves and quadratic discriminant analysis. This paper extends those results to an expanded set of features, a broader spectrum that includes near-infrared as well as visible wavelengths and a larger set of physical samples. It also tests two methods for eliminating the classification procedure's reliance on raw spectral-reflectance curves. Instead of working with the raw curves, which are difficult to obtain by traditional means at sufficient speeds in a production environment, the data required by these two methods is much reduced and can potentially be obtained from a video camera equipped with either custom or commercially available bandpass filters. The paper shows that classification accuracies achieved with either of the two reduced-data methods are comparable to the accuracies achieved when using raw spectral data.