Automatic Classification of Wood Texture using Local Binary Pattern & Fuzzy K-Nearest Neighbor

• Main Authors: Mohd Khairuddin, Ismail, Ali, Abuassal, Ali, Abdelrahim, Zainal Abidin, Amar Faiz, Mohamad, Syahrul Hisham, Mutaz, Alsawi, Nordin, Nur Anis, Jaafar, Hazriq Izzuan
• Format: Article
• Language: English
• Published: scientific.net 2014
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/11681/1/2014_Journal_AMR.903.315.pdf; http://eprints.utem.edu.my/id/eprint/11681/; http://www.scientific.net/AMR.903.315

The price of the wood according to the type of wood. Classification of the woods can be done by studying its texture. This paper introduces Fuzzy k Nearest Neighbor to classify 25 types of wood. The wood’s images have been taken from the Wood Database of the Centre for Artificial Intelligence &...