A Method for Nondestructive Testing of Blockboard Based on Morphological Double-Gradient Algorithm

This paper proposes a scheme for nondestructive detection of blockboard. According to intensity differences of the x-ray through the blockboard, a lot of valuable target information such as bond quality, uniformity degree, and situations of filler were detected. First of all, x-ray nondestructive system was used to detect blockboard and the blockboard image was obtained. And then some image pre-processing methods just as function imadjust and value filter are employed to enhance the valuable target information in blockboard image. Then, mathematical morphology double-gradient algorithm was used in edge detection of blockboard image. Experimental results demonstrate that the method performs better in noise-suppression and edge detection than conventional edge detection operations. This study provides a new tool for nondestructive detection of blockboard.