| 邱华林,肖昌炎,蒋仕龙.最小曲率法与峰值检测相结合的纸张计数算法[J].电子测量与仪器学报,2017,31(9):1475-1480 |
| 最小曲率法与峰值检测相结合的纸张计数算法 |
| Paper counting algorithm combining minimum curvature and peak detection |
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| DOI：10.13382/j.jemi.2017.09.019 |
| 中文关键词: 纸张计数 最小曲率法 峰值检测 中心点校正 |
| 英文关键词:stacked papers counting minimum curvature peak detection correcting center |
| 基金项目:国家自然科学基金（61571184）、国家自然科学基金（U1613209）资助项目 |
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| 中文摘要: |
| 为解决叠层纸张计数的难题，提出了一种最小曲率法与峰值检测相结合的叠层纸张计数算法。首先，从叠层纸张图像中沿垂直纸张方向依此逐行提取灰度剖面，经高斯滤波后计算其曲率值。接着寻找叠层纸张的中心点，由于纸张的灰度剖面图呈高斯形状，所以局部极小曲率点是纸张的中心位置点，并且曲率连续<0的宽度为一张纸张的厚度。然后，利用相邻中心位置点之间的距离以及相应点的灰度信息对纸张中心点位置进行校正。最后，利用峰值检测对脊线结果进行计数。本文算法通过融合纸张灰度特征与相邻纸张距离能准确检测异常纸张。实验证明，对于厚度在0.05~0.2 mm的叠层纸张的计数误差都小于0.01%。 |
| 英文摘要: |
| To solve the problem of stacked papers counting, the method combined minimum curvature with peak detection is presented. First, the profiles of the stacked papers along the vertical orientation of the paper are extracted. The curvatures of the profiles are calculated after processing the images by Gaussian filtering. Second, the centers of the stacked papers need to be detected. As the profile of the sheet is like the shape of Gaussian. So, the local minimums of curvatures indicate the center positions of stacked papers. The width of the region where the curvature is negative represented the thickness of the paper. Then the center positions of stacked papers can be corrected by judging the distance between the two adjacent center points and the gray features. Finally, the counting result can be acquired by using peak detection from the ultimate ridge line result of the stack papers. The algorithm proposed in this paper can accurately detect the abnormal paper by fusing the gray features of the stacked papers and the distance of adjacent paper. The experimental results show that the error rate of the method is less than 0.01% for the paper with the thickness between 0.05~0.2 mm. |
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