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

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Politeknik Dergisi
Volume:20 Issue:4
Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques

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

Authors : Timuçin Bardak, Selahattin Bardak

Pages : 979-984

Doi:10.2339/politeknik.369132

View : 42 | Download : 14

Publication Date : 2017-12-20

Article Type : Research Paper

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 insert ignore into journalissuearticles values(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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