No-reference quality assessment for image-based assessment of economically important tropical woods

• Main Authors: Rajagopal, Heshalini, Mokhtar, Norrima, Tengku Mohmed Noor Izam, Tengku Faiz, Wan Ahmad, Wan Khairunizam
• Format: Article
• Published: Public Library of Science 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/25348/; https://doi.org/10.1371/journal.pone.0233320

Image Quality Assessment (IQA) is essential for the accuracy of systems for automatic recognition of tree species for wood samples. In this study, a No-Reference IQA (NR-IQA), wood NR-IQA (WNR-IQA) metric was proposed to assess the quality of wood images. Support Vector Regression (SVR) was trained...