王丽,李艳飞,郭秋萍,任建荣,崔瀚.基于机器视觉的某种弹弹体硬度检测技术研究[J].包装工程,2023,44(11):277-283.
WANG Li,LI Yan-fei,GUO Qiu-ping,REN Jian-rong,CUI Han.Certain Ammunition Body Hardness Testing Technology Based on Machine Vision[J].Packaging Engineering,2023,44(11):277-283. |
| 基于机器视觉的某种弹弹体硬度检测技术研究 |
| Certain Ammunition Body Hardness Testing Technology Based on Machine Vision |
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| DOI：10.19554/j.cnki.1001-3563.2023.11.032 |
| 中文关键词: 机器视觉 弹体 硬度 检测 |
| 英文关键词: machine vision Certain ammunition body hardness testing |
| 基金项目:辽宁省教育厅科学研究一般项目(L202009) |
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| 中文摘要: |
| 目的 解决某种弹弹体硬度检测过程中人工读取硬度圆直径存在的问题。方法 应用材料的布氏硬度检测原理，设计基于机器视觉的某种弹弹体硬度检测装置，并制定某种弹弹体硬度的视觉检测算法。根据所提出的算法应用Maltlab实现对某种弹弹体硬度圆特征的提取和直径的计算。结果 通过T检验法对所提出的机器视觉检验方法与人工检测的结果进行对比分析，其结果为2种检测结果无差异性。结论 本文所设计的机器视觉检测装置和提出的视觉检测算法的具有较高的可靠性和正确性，可以应用于某种弹弹体的硬度检测。 |
| 英文摘要: |
| The work aims to solve the problem in manual reading of the hardness circle diameter in the hardness testing of the Certain ammunition body. A hardness testing device for the Certain ammunition body based on machine vision was designed by applying the material Brinell hardness testing principle, and a visual testing algorithm for the hardness of the Certain ammunition body was developed. According to the algorithm proposed, Maltlab was used to realize the extraction of the characteristics of the hardness circle of the Certain ammunition body and the calculation of the diameter. Finally, the results of the proposed testing method based on machine vision and the manual testing were compared and analyzed by T-test method, indicating that there was no difference between the two testing results. The designed testing device based on machine vision and the proposed visual testing algorithm have high reliability and accuracy, and can be applied to the hardness testing of the Certain ammunition body. |
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