Single class classifier using FMCD based non-metric distance for timber defect detection

• Main Authors: Hashim, U. R., Hashim, S. Z. M., Muda, A. K., Kanchymalay, K., Jalil, I. E. A., Othman, M. H.
• Format: Article
• Language: English
• Published: International Center for Scientific Research and Studies 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/76319/1/SitiZaitonMohdHashim_SingleClassClassifierUsingFMCDBased.pdf; http://eprints.utm.my/id/eprint/76319/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033684365&partnerID=40&md5=ef3b4c0a72327758ae9a64d68bdeb856

In this work, we propose a robust Mahalanobis one class classifier with Fast Minimum Covariance Determinant estimator (MC-FMCD) for species independent timber defect detection. Having known in timber inspection research that there is a lack of defect samples compared to defect-free samples (imbalanc...