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 in...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Current Research in Food Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S266592712400128X |
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| author | Hary Kurniawan Muhammad Akbar Andi Arief Santosh Lohumi Moon S. Kim Insuck Baek Byoung-Kwan Cho |
| author_facet | Hary Kurniawan Muhammad Akbar Andi Arief Santosh Lohumi Moon S. Kim Insuck Baek Byoung-Kwan Cho |
| author_sort | Hary Kurniawan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3b74622f23ef4871b620cd0af2c8fc09 |
| institution | Kabale University |
| issn | 2665-9271 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Current Research in Food Science |
| spelling | doaj-art-3b74622f23ef4871b620cd0af2c8fc092024-12-13T11:03:01ZengElsevierCurrent Research in Food Science2665-92712024-01-019100802Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetablesHary Kurniawan0Muhammad Akbar Andi Arief1Santosh Lohumi2Moon S. Kim3Insuck Baek4Byoung-Kwan Cho5Department of Smart Agriculture Systems, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon, 34134, South Korea; Department of Agricultural Engineering, Faculty of Food Technology and Agroindustry, University of Mataram, West Nusa Tenggara, 83126, IndonesiaDepartment of Smart Agriculture Systems, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon, 34134, South KoreaDepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon, 34134, South KoreaEnvironmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD, 20705, USAEnvironmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD, 20705, USADepartment of Smart Agriculture Systems, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon, 34134, South Korea; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon, 34134, South Korea; Corresponding author. Department of Smart Agriculture Systems, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon, 34134, South Korea.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.http://www.sciencedirect.com/science/article/pii/S266592712400128XFresh-cut vegetablesForeign materialsColor imagingFluorescence imaging |
| spellingShingle | Hary Kurniawan Muhammad Akbar Andi Arief Santosh Lohumi Moon S. Kim Insuck Baek Byoung-Kwan Cho Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables Current Research in Food Science Fresh-cut vegetables Foreign materials Color imaging Fluorescence imaging |
| title | Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables |
| title_full | Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables |
| title_fullStr | Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables |
| title_full_unstemmed | Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables |
| title_short | Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables |
| title_sort | dual imaging technique for a real time inspection system of foreign object detection in fresh cut vegetables |
| topic | Fresh-cut vegetables Foreign materials Color imaging Fluorescence imaging |
| url | http://www.sciencedirect.com/science/article/pii/S266592712400128X |
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