Research on Method in Detecting Cavity of the Cross-Section of Fiberboard Based on Image Processing

Aiming at the feature of the cavity microscopic image of the cross-section of Fiberboard, a new algorithm is proposed which can detect the image effectively and accurately. This algorithm used Otsu algorithm to segment the cavity from the microscopic image, then refined the cavity edge by using the GAP statistic model which was based on the difference in distribution function of grey-level. The experimental results show that the algorithm improves the edge detection effect of cavity microscopic image with a good anti-noise performance, and achieves better detection effect.