Distinguishing the quality of wood is required in industry as one of quality controls. This process needs image processing technique to realize automation by a computer. This paper presents the detection of first and second quality from slant fiber wood. In feature extraction, we use only 2 feature values, namely, fibernumber (the number of fibers in the wood) and maximumangle (the highest slop angle of the fibers in the wood). Thresholding is used as the classification method. The result shows that the proposed algorithm can produce 84.27% accuracy.

detection, wood, slop angle of fiber, fiber number, feature extraction.