| Autor: |
Khairuddin, Ismail Mohd, Abuassal, Ali, Abdelrahim, Ali, Abidin, Amar Faiz Zainal, Mohamad, Syahrul Hisham, Alsawi, Mutaz, Nordin, Nur Anis, Jaafar, Hazriq Izzuan |
| Zdroj: |
Advanced Materials Research; February 2014, Vol. 903 Issue: 1 p315-320, 6p |
| Abstrakt: |
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 woods images have been taken from the Wood Database of the Centre for Artificial Intelligence & Robotics, Universiti Teknologi Malaysia. The features of wood images are extracted using Local Binary Pattern. The results of this paper shows improvement in wood classification compare to the previous literature. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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