- Politeknik Dergisi
- Vol: 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 : 11 | Download : 4
Publication Date : 2017-12-20
Article Type : Research
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