Author/Authors
bardak, timuçin bartin university - bartın vocational school - forestry furniture and decoration program, Bartın, Turkey , bardak, selahattin sinop university - faculty of engineering and architecture - department of industrial engineering, Sinop, Turkey
Title Of Article
Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques
شماره ركورد
16009
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.
From Page
979
NaturalLanguageKeyword
Fuzzy logic , color , wood , density , imaging
JournalTitle
Journal Of Polytechnic
To Page
984
JournalTitle
Journal Of Polytechnic
Link To Document