目的 研究运用数字图像技术实现纸张自动计数。方法 通过对印刷纸张叠层图像的纹理分析， 针对大幅面计数场合， 借助一阶差分算子和形态梯度对纹理区域进行定位与提取； 用定方向形态灰度修复纹理； 对细化的纹理进行统计计数， 分析对比各方法优缺点及对计数的影响。结果 该流程方法强化了弱点缺省信息， 对实际工况下纸张因毛边、 磨损等造成的纹理破坏具有良好的修复效果。实验验证了该计数方法。结论 该计数方法具有高效、 稳定的特点， 能够对实况下大幅面纸张进行有效、 精准的计数。

The aim of this work was to research and implement automatic paper precision counting using digital image technology. By analyzing the image texture of overlaid wafers, a counting algorithm was put forward targeting at the situation of large-format paper counting. First, first-order differential operator and morphological gradient were used for localization and extraction of texture region, then the oriented morphological grayscale was used for texture repair, finally, statistical counting of refined texture was conducted, and the advantages and disadvantages of each method as well as their influences on counting were compared. This algorithm strengthened the weak points of default information, and was suitable for repairing the damaged texture by trimmings and wear under the actual production condition. This counting method was experimentally validated. In conclusion, this counting method, with the characteristics of highly efficient and stable, can effectively and accurately count large-format paper under actual condition.