Abstract
Classification of surface defects on wood boards is one of the important steps towards a completely automated wood processing plant. This paper presents a hierarchical approach to classify sample boards of red oak into the nine classes, eight types of surface defects and clear wood. It utilizes a priori knowledge about surface defects and their texture properties. Since the boards in a wood processing plant are usually covered by dust, the feasibility of using the proposed approach in such an environment is investigated. Three types of image data including those of dusty board surfaces are generated and utilized in the classification experiments.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.