A kind of solid wooden floor board detection method of surface flaw based on image co-registration segmentation

A kind of solid wooden floor board detection method of surface flaw based on image co-registration segmentation, relate to floor surface defects detection field, the present invention is directed to that the splitting speed that algorithm of region growing exists is slow, split inaccurate problem, cause the problem that surface defects detection speed is slow, precision is low of solid wooden floor board, affect its quality and sorting grade.First extracting the R component image of defect and carry out image down, in low-dimensional image space, deployment area growing method completes the quick location of defect；Utilize gradient information interpolation to be amplified downscaled images restoring, and defect is carried out labelling generation reference picture；Application wavelet transformation retrieval mark reference picture edge, with edge pixel point for seed original image carry out taboo fast search, it is achieved defect area quick, precisely split.20 width are contained movable joint, die for the sake of honour, the sample image of crackle carries out defects detection test, and the method average sliced time is 13.21ms, and the rate of accuracy reached in defect Segmentation region is to 96.8%.