| 摘要: |
| 目的 对于人工进行压缩机滑片计数烦琐的问题，基于机器视觉技术和PLC设计一种对压缩机滑片自动计数的算法和装置。方法 采用工业相机及大功率LED灯设计视觉装置，并利用PLC作为流水线控制器，与视觉计算机通过TCP通信。基于图像处理技术设计自动计数算法，首先对相机采集的箱装滑片图像裁剪出感兴趣区域并进行滤波、直方图均衡化、形态学处理、自适应阈值分割来增强图像对比度;然后对图像空洞进行填充、较大的噪声斑块去除后使用thin算法对粘连紧密的滑片细化处理，通过水平投影法绘制直方图找出切割位置;最后进行连通域分析确定滑片数目，并设计用户界面显示计数结果和系统状态。结果 通过现场多次测试，整体系统运行流畅，不受外界光照影响，计数准确高效。在一天内不同时间段测试，平均每次计数时间为7.6 s，准确率达到99.83%。结论 投影法的应用解决了密集粘连的分割难题，该方法对环境适应性强，对滑片可稳定准确地进行自动计数，在滑片实际批量生产包装中具有明显应用优势。 |
| 关键词: 滑片 水平投影 计数 分割 |
| DOI：10.19554/j.cnki.1001-3563.2022.01.026 |
| 分类号:TB487 |
| 基金项目:唐山市科技计划(21130212C) |
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| Design of Compressor Slide Counting System Based on Machine Vision |
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WANG Yi, DONG Guang-lin, MA Zheng-dong, GONG Xiao-jie, DU Yan
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(College of Electrical Engineering, North China University of Science and Technology, Tangshan 063200, China)
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| Abstract: |
| The work aims to design an algorithm and device for automatic counting of compressor slides based on machine vision technology and PLC in view of the cumbersome problem of manually counting compressor slides. Industrial cameras and high-power LED lights were used to design the visual device, and PLC was used as the assembly line controller to communicate with the visual computer through TCP. An automatic counting algorithm was designed based on image processing technology. Firstly, the area of interest was cropped from the boxed slide image collected by the camera and subject to filtering, histogram equalization, morphological processing, and adaptive threshold binary segmentation to enhance image contrast. Then, the image cavities were filled. After the larger noise points were removed, the thin algorithm was used to refine the tightly adhered slides, and the histogram was drawn by the horizontal projection method to find the cutting position. Finally, the connected domain analysis was performed to determine the number of slides, and design the user interface to display the counting results and system status. Through many on-site tests, the overall system ran smoothly and was not affected by external light, with high counting accuracy. Tests were carried out at different time in a day, the average time for each count was 7.6 s, and the accuracy reached 99.83%. The application of the projection method solves the segmentation problem of dense adhesion. This method is highly adaptable to the environment, can automatically count slides stably and accurately and has obvious application advantages in the actual mass production and packaging of slides. |
| Key words: slide horizontal projection count cutting |
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