The Method of Defects Segmentation and Recognition to Wood Surface Image

In order to recognize the wood surface defects of dead knot,live knot,and worm hole,Gabor transtorm and fuzzy C-means clustering algorithm were used to segment wood image defects.Mathematical morphology was used in post-processing operation of segmented wood images,12 frequency-enengy parameters and 2 shape parameters of defect targets were calculated.Support vector machines were used in the recognition of wood surface defect types.The segmentation accuracy to defects reached up to 94%,and the recognition accuracy to defect types of Support vector machines reached up to 93%.The result shows that it is feasible to segment and identify wood surface defects.