Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques

Year 2017, , 979 - 984, 20.12.2017

Timuçin Bardak Selahattin Bardak

https://doi.org/10.2339/politeknik.369132

Cited By: 4

Abstract

Density
is an important wood property since it correlates to mechanical
properties of wood. Fuzzy logic, among the various available Artificial
Intelligence techniques, emerges as a good technique in predicting. Digital
image analysis is an powerful tool to obtain meaningful data out of an image. In this study, digital image processing based on a
red–green–blue (RGB) color examination was practiced to measure the intensity
of wood color. Densities of the test samples were measured. Then, a new fuzzy
logic model was developed based on these measured values and RGB color
intensity of wood. Afterwards, the
experimental and modeling data results were compared.  98.17% accuracy was observed between the
measurement and the fuzzy logic model. Consequently, Fuzzy logic is visable
method for the prediction of the wood density.   

Keywords

Fuzzy logic, color, wood, density, imaging

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