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

Timuçin Bardak; Selahattin Bardak

Makale detayları

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

Yazarlar:

Timuçin Bardak | Selahattin Bardak

Yayıncı:

Gazi University

Dergi:

Journal of Polytechnic 2017 Vol.20 Issue 4, pp.979-984

Belge Tipi:

Makale

Yayın Tarihi:

12/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000590927

Sıklık:

Aylık

eISSN:

2147-9429

Özet:

 


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.   

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Makale detayları

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

Yazarlar: Timuçin Bardak | Selahattin Bardak

Yayıncı: Gazi University

Dergi: Journal of Polytechnic 2017 Vol.20 Issue 4, pp.979-984

Belge Tipi: Makale

Yayın Tarihi: 12/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000590927

Sıklık: Aylık

eISSN: 2147-9429

Sayı

Yazarlar:

Timuçin Bardak | Selahattin Bardak

Yayıncı:

Gazi University

Dergi:

Journal of Polytechnic 2017 Vol.20 Issue 4, pp.979-984

Belge Tipi:

Makale

Yayın Tarihi:

12/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000590927

Sıklık:

Aylık

eISSN:

2147-9429