应用纹理分析的纸张计数算法

针对生产和生活中大量应用的机械纸张计数装置存在体积大、功耗高、笨重和不易保养维护等缺点，提出了一种基于纹理分析的纸张计数算法，试图从机器视觉的角度来解决这一问题。该方法是将规律排列的纸张叠层图像的边棱看作条纹纹理，同时认为原图纸张排列的规律性必将造成频域内存在着大量的相关资源，并试图分别从二维Gabor滤波和一维逐行频率分析处理的角度人手，通过这些资源的滤出来得到用于确定纸张数目的纸张边棱信息，实验结果显示，虽然用二维Gabor滤波器进行纸张边棱提取速度较快，但由于该算法受纸张叠层图像的质量影响较大，因而适用范围有限；而用逐行分析处理的手段来进行纸张边棱提取，虽然速度较慢，但由于该算法能够很好地对实验中用到的纸张叠层图像进行处理，因而能够得到精确的计数结果。

Algorithm of Paper Counting Based on Texture Analysis

An algorithm of paper counting based on texture analysis is proposed in the paper, in which machine vision method is employed, for the reason that paper counting machines used widely have some defects, such as taking up a lot of room, consuming much energy, being hulking, inconveniencing the maintenance work etc. So two complementary methods for paper counting based on Image Processing technology are proposed in this paper. One is paper counting by 2D Gabor filter, the other is paper counting by 1D line by line frequency analysis, in which periodicity of distribution of intensity caused by periodic placement of paper is considered as stripe texture. The information for counting and the paper number is gained through filtering the image and retaining the stripe texture using Texture Analysis knowledge because the orderly placement of paper in the image causes the interrelated resource in frequency domain. The experiments show that paper counting by 2D Gabor filter is affected deeply by the quality of the paper image and has limited application range in despite of running faster, and paper counting by 1D line by line frequency analysis can works well and gain the accurate paper number despite low speed. Generally speaking, algorithm of paper counting by digital image processing and texture analysis is infrequent in China, so some attempts are made in the paper. The result indicates that the algorithm of paper counting has fine future in application.