A Wood Color Classifier Based on CAV and SVM

Abstract

A wood color grading method based on the characteristics of wood images and support vector machine(SVM). A high-performance color charge-coupled device camera captures color from wood samples and transmits images to the computer, then Hue from Munsell color system (HSI) and color vector angle (CVA) are used to characterize wood color of samples for the comparative purpose.These eigenvalues build two training sets,using support vector machine to establish the color classifiers,and test each classifier.The experimental results show that, the classification method based on the CVA and support vector machine can quickly and accurately estimate the level of the color of the wood materials, improve the level of automation and production efficiency in the wood processing.