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Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques
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نویسنده
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bardak timuçin ,bardak selahattin
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منبع
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journal of polytechnic - 2017 - دوره : 20 - شماره : 4 - صفحه:979 -984
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چکیده
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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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کلیدواژه
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Fuzzy logic ,color ,wood ,density ,imaging
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آدرس
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bartin university, bartın vocational school, forestry furniture and decoration program, Turkey, sinop university, faculty of engineering and architecture, department of industrial engineering, Turkey
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پست الکترونیکی
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selahattinbardak@hotmail.com
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Authors
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