用于鲜切蔬菜异物检测实时检查系统的双成像技术

IF 6.2 2区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
Hary Kurniawan , Muhammad Akbar Andi Arief , Santosh Lohumi , Moon S. Kim , Insuck Baek , Byoung-Kwan Cho
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引用次数: 0

摘要

鲜切蔬菜是一种易受异物(FMs)污染的食品。为了检测鲜切蔬菜中一系列潜在的 FMs,我们开发了一种双成像技术(荧光和彩色成像),并在用户友好的软件界面中采用了简单有效的图像处理算法,用于实时检测系统。检测系统由进料和传感单元组成,包括两台平行放置的照相机、照明设备(白光 LED 和紫外光)以及一个传送带单元。一台装有长通滤镜的相机用于采集荧光图像。另一台相机收集鲜切蔬菜和调味品的彩色图像。进料装置将与鲜切蔬菜混合的调质纤维送入传送带。两台相机在软件界面中以编程方式同步,同时根据感兴趣的区域收集荧光和彩色图像样本,这些样本在传送带上移动。利用简单的图像处理算法,可以在两个不同的图像窗口中检测和描述调频。结果表明,从荧光和彩色成像的综合精度来看,双重成像技术能有效检测出两种鲜切蔬菜(卷心菜和葱花)中潜在的调频干扰。测试结果表明,实时检测系统可以检测出鲜切菜中 0.5 毫米大小的调频。结果表明,卷心菜(95.77%)样品中调频电磁波的综合检测准确率优于洋葱样品(87.89%)。因此,检测系统检测卷心菜样本中的调频干扰素比检测葱样本中的调频干扰素更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables

Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables

Fresh-cut vegetables are a food product susceptible to contamination by foreign materials (FMs). To detect a range of potential FMs in fresh-cut vegetables, a dual imaging technique (fluorescence and color imaging) with a simple and effective image processing algorithm in a user-friendly software interface was developed for a real-time inspection system. The inspection system consisted of feeding and sensing units, including two cameras positioned in parallel, illuminations (white LED and UV light), and a conveyor unit. A camera equipped with a long-pass filter was used to collect fluorescence images. Another camera collected color images of fresh-cut vegetables and FMs. The feeding unit fed FMs mixed with fresh-cut vegetables onto a conveyor belt. Two cameras synchronized programmatically in the software interface simultaneously collected fluorescence and color image samples based on the region of interest as they moved through the conveyor belt. Using simple image processing algorithms, FMs could be detected and depicted in two different image windows. The results demonstrated that the dual imaging technique can effectively detect potential FMs in two types of fresh-cut vegetables (cabbage and green onion), as indicated by the combined fluorescence and color imaging accuracy. The test results showed that the real-time inspection system could detect FMs measuring 0.5 mm in fresh-cut vegetables. The results showed that the combined detection accuracy of FMs in the cabbage (95.77%) sample was superior to that of green onion samples (87.89%). Therefore, the inspection system was more effective at detecting FMs in cabbage samples than in green onion samples.

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来源期刊
Current Research in Food Science
Current Research in Food Science Agricultural and Biological Sciences-Food Science
CiteScore
7.40
自引率
3.20%
发文量
232
审稿时长
84 days
期刊介绍: Current Research in Food Science is an international peer-reviewed journal dedicated to advancing the breadth of knowledge in the field of food science. It serves as a platform for publishing original research articles and short communications that encompass a wide array of topics, including food chemistry, physics, microbiology, nutrition, nutraceuticals, process and package engineering, materials science, food sustainability, and food security. By covering these diverse areas, the journal aims to provide a comprehensive source of the latest scientific findings and technological advancements that are shaping the future of the food industry. The journal's scope is designed to address the multidisciplinary nature of food science, reflecting its commitment to promoting innovation and ensuring the safety and quality of the food supply.
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