基于机器视觉的手持式瓦楞纸计数系统研究

目的 为了实现对瓦楞纸叠层的精确计数。方法 提出一种基于机器视觉的手持式计数系统，介绍了系统的硬件组成和应用场景，引入孔洞增强算法和基于倾斜校正的孔洞投影策略，并且与现有计数算法进行对比分析，最后针对不同楞型的瓦楞纸叠层进行计数实验，进一步验证了所提出算法的鲁棒性。结果 对已有不同楞型的瓦楞纸进行多次试验，提出的计数系统均能取得99%的准确率。结论 在实际工作场景下，大量测试表明该系统可以对瓦楞纸叠层进行精确计数。

Hand-held Corrugated Cardboard Counting System Based on Machine Vision

The work aims to count the corrugated cardboard accurately. A hand-held corrugated cardboard counting system based on machine vision was proposed and the hardware structure and application scenario of the system were introduced. The blob enhancement algorithm and the blob projection strategy based on slope correction were adopted and compared with the existing counting algorithms for analysis. Finally, counting experiments were carried out on corrugated cardboard laminates with different shapes, and the robustness of the proposed algorithm was further verified. The existing corrugated cardboards with different shapes were tested for many times, and the accuracy of the proposed counting system reached 99%. In the actual working scenario, a large number of tests show that the system can accurately count corrugated cardboard laminates.