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基于机器视觉的瓶装矿泉水悬浮物自动检测方法

Vision-Based Automatic Detection Method for Suspended Matter in Bottled Mineral Water

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摘要

瓶装矿泉水在出厂前需要检测里面是否存在悬浮物颗粒,目前主要是靠人工观察,这种方法费时费力,而且依赖人工的主观感觉,检测效果不好。针对这一问题,基于机器视觉技术,建立了一种瓶装矿泉水中悬浮物颗粒自动检测方法,包括图像采集、悬浮物颗粒目标识别、数量统计及尺寸参数检测等图像分析处理流程。在此基础上,设计了瓶装矿泉水中悬浮物颗粒自动检测装置,阐述了该装置的结构及工作原理,进行了瓶装矿泉水中悬浮物颗粒检测实验。检测实验结果表明,本文提出的方法可从定性和定量两个方面对瓶装矿泉水中是否存在悬浮物颗粒进行检测,悬浮物颗粒数量统计准确,悬浮物颗粒的尺寸检测的最大误差为0.28 mm,相对误差小于6.8%,具有较高的精确度。将上述装置及方法用于瓶装矿泉水出厂前检测,具有检测准确、节约人力、工作效率高、操作简单的特点。

Abstract

Bottled mineral water must be tested to determine the presence of suspended particles prior to being dispatched from the factory. At present, manual methods are used toward this end. These methods are time-consuming and laborious, relying on artificial subjective feelings, and their detection results are not satisfactory. Aiming at this problem, an automatic detection method for suspended particles in bottled mineral water based on computer-vision technology is presented in this paper, which includes image acquisition, recognition of suspended particles, quantity statistics, size parameter detection, and other image analysis processing. On this basis, we develop an automatic detection device for suspended matter in bottled mineral water, describing the structure and working principle of the device, and accomplish the inspection test of suspended matter in bottled mineral water. Results illustrate that the proposed method can both qualitatively and quantitatively detect the number and size of suspended particles in bottled mineral water. The quantitative statistics of suspended particles is accurate. The maximum testing error for the size of suspended particles is 0.28 mm, and the relative errors are less than 6.8%. The proposed device and method could be applied to the detection of bottled mineral water prior to its dispatch from the factory with the characteristic features of accurate detection, saving labor, improving work efficiency, and easy operation.

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中图分类号:TP391.41

DOI:10.3788/LOP57.141028

所属栏目:图像处理

基金项目:国家自然科学基金;

收稿日期:2019-11-02

修改稿日期:2019-12-31

网络出版日期:2020-07-01

作者单位    点击查看

盛子夜:昆明理工大学信息工程与自动化学院, 云南 昆明 650500
张云伟:昆明理工大学信息工程与自动化学院, 云南 昆明 650500

联系人作者:盛子夜(1538051646@qq.com); 张云伟(1657824262@qq.com);

备注:国家自然科学基金;

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引用该论文

Sheng Ziye,Zhang Yunwei. Vision-Based Automatic Detection Method for Suspended Matter in Bottled Mineral Water[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141028

盛子夜,张云伟. 基于机器视觉的瓶装矿泉水悬浮物自动检测方法[J]. 激光与光电子学进展, 2020, 57(14): 141028

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