关键词: CB形态学, 灰度码分解, 纸病检测

Abstract: Traditional paper defect detection algorithms have the problem of poor anti-interference ability, inaccurate positioning, complex computation. Considering this, a paper defect detection algorithm based on CB morphology and gray-code decomposition is presented. Firstly, the noise of the images containing paper defects is filtered by multi-scale CB morphology. Then, the filtered images are decomposed by gray-code decomposition. Finally, the edge of the important bitplane is detected by multi-structural elements CB morphology. The simulation results show that, this method is easily calculated, has a better anti-interference ability, and can accurately locate the paper defects.

Key words: Contour Bougie（CB） morphology, gray-code decomposition, paper defect detection