Statistical Methods for Classification of Wooden Boards
The quality inspection of wooden boards is experiencing a large change. By the use of camera and laser technology board characteristics and defects can be instantly identified and measured. This thesis investigates how the information from a quality inspection system can be used to classify boards into different quality classes, by the use of statistical classification models. Two types of classif
