Defects detection based on principal component analyses and support vector machines

Woods are used in many fields. The appearance of woods is important for the quality of wood products. In this paper, we present an image series fusion method based principal component analyses and recognize the defects by support vector machines. We select the histogram of the feature image as feature vector, and send it to support vector machines for recognition and classification. The results show that this method can fuse the image series and detect the defects.