Extraction and analysis of the man-made fiberboard cavity based on image recognition technique

The cavity is an important indicator of quality detection for the man-made fiberboard. According to the smaller sizes, the variant shapes and the larger range of colour distribution of the cavities, this paper carries out a detailed analysis of the cavity parameters. This paper enhances the contrast of the image of the cavity, and then uses the threshold segmentation method to extract the cavity image, and thus extracts the cavity rate and the average cavity size parameters. A large number of experimental results indicate that the fiberboard of different densities have obvious differences in the cavity rate and the average cavity size, so this paper can consider the cavity rate and the average cavity area as two vital bases for judgment of classification of the fiberboard.