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

• Main Authors: Hashim, Ummi Rabaah, Draman @ Muda, Azah Kamilah, Kanchymalay, Kasturi, Abdul Jalil, Intan Ermahani, Othman, Muhammad Hakim, Mohd Hashim, Siti Zaiton
• Format: Article
• Language: English
• Published: International Center For Scientific Research And Studies (ICSRS) 2017
• Online Access: http://eprints.utem.edu.my/id/eprint/25341/2/2.3%20JOURNAL%20SCOPUS%20-%20IJASCA.PDF; http://eprints.utem.edu.my/id/eprint/25341/; http://home.ijasca.com/data/documents/11_Pg-199_216_Single-Class-Classifier-Using-FMCD-Based_1.pdf

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...