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

Timuçin Bardak; Selahattin Bardak

doi:10.2339/politeknik.369132

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

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

References

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Details

Primary Language

Turkish

Subjects

-

Journal Section

Research Article

Authors

Timuçin Bardak This is me

Selahattin Bardak ^*

Publication Date

December 20, 2017

Submission Date

November 25, 2016

Acceptance Date

-

Published in Issue

Year 2017 Volume: 20 Number: 4

DOI

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

IZ

https://izlik.org/JA69EG27BK

Cite

RIS / Bibtex

APA

Bardak, T., & Bardak, S. (2017). Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques. Politeknik Dergisi, 20(4), 979-984. https://doi.org/10.2339/politeknik.369132

AMA

1.Bardak T, Bardak S. Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques. Politeknik Dergisi. 2017;20(4):979-984. doi:10.2339/politeknik.369132

Chicago

Bardak, Timuçin, and Selahattin Bardak. 2017. “Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques”. Politeknik Dergisi 20 (4): 979-84. https://doi.org/10.2339/politeknik.369132.

EndNote

Bardak T, Bardak S (December 1, 2017) Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques. Politeknik Dergisi 20 4 979–984.

IEEE

[1]T. Bardak and S. Bardak, “Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques”, Politeknik Dergisi, vol. 20, no. 4, pp. 979–984, Dec. 2017, doi: 10.2339/politeknik.369132.

ISNAD

Bardak, Timuçin - Bardak, Selahattin. “Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques”. Politeknik Dergisi 20/4 (December 1, 2017): 979-984. https://doi.org/10.2339/politeknik.369132.

JAMA

1.Bardak T, Bardak S. Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques. Politeknik Dergisi. 2017;20:979–984.

MLA

Bardak, Timuçin, and Selahattin Bardak. “Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques”. Politeknik Dergisi, vol. 20, no. 4, Dec. 2017, pp. 979-84, doi:10.2339/politeknik.369132.

Vancouver

1.Timuçin Bardak, Selahattin Bardak. Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques. Politeknik Dergisi. 2017 Dec. 1;20(4):979-84. doi:10.2339/politeknik.369132