Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral Imaging
Foreign material (FM) found on a poultry product lowers the quality and safety of the product. We developed a fusion method combining two hyperspectral imaging (HSI) modalities in the visible-near infrared (VNIR) range of 400–1000 nm and the short-wave infrared (SWIR) range of 1000–2500 nm for the d...
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| Format: | Article |
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MDPI AG
2021-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/24/11987 |
| _version_ | 1797506730581557248 |
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| author | Soo Chung Seung-Chul Yoon |
| author_facet | Soo Chung Seung-Chul Yoon |
| author_sort | Soo Chung |
| collection | DOAJ |
| description | Foreign material (FM) found on a poultry product lowers the quality and safety of the product. We developed a fusion method combining two hyperspectral imaging (HSI) modalities in the visible-near infrared (VNIR) range of 400–1000 nm and the short-wave infrared (SWIR) range of 1000–2500 nm for the detection of FMs on the surface of fresh raw broiler breast fillets. Thirty different types of FMs that could be commonly found in poultry processing plants were used as samples and prepared in two different sizes (5 × 5 mm<sup>2</sup> and 2 × 2 mm<sup>2</sup>). The accuracies of the developed Fusion model for detecting 2 × 2 mm<sup>2</sup> pieces of polymer, wood, and metal were 95%, 95%, and 81%, respectively, while the detection accuracies of the Fusion model for detecting 5 × 5 mm<sup>2</sup> pieces of polymer, wood, and metal were all 100%. The performance of the Fusion model was higher than the VNIR- and SWIR-based detection models by 18% and 5%, respectively, when F1 scores were compared, and by 38% and 5%, when average detection rates were compared. The study results suggested that the fusion of two HSI modalities could detect FMs more effectively than a single HSI modality. |
| first_indexed | 2024-03-10T04:36:54Z |
| format | Article |
| id | doaj.art-ab818083309c4fbf9a96704bc49da93f |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T04:36:54Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-ab818083309c4fbf9a96704bc49da93f2023-11-23T03:41:30ZengMDPI AGApplied Sciences2076-34172021-12-0111241198710.3390/app112411987Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral ImagingSoo Chung0Seung-Chul Yoon1U.S. National Poultry Research Center, Agricultural Research Service (ARS), United States Department of Agriculture (USDA), 950 College Station Rd., Athens, GA 30605, USAU.S. National Poultry Research Center, Agricultural Research Service (ARS), United States Department of Agriculture (USDA), 950 College Station Rd., Athens, GA 30605, USAForeign material (FM) found on a poultry product lowers the quality and safety of the product. We developed a fusion method combining two hyperspectral imaging (HSI) modalities in the visible-near infrared (VNIR) range of 400–1000 nm and the short-wave infrared (SWIR) range of 1000–2500 nm for the detection of FMs on the surface of fresh raw broiler breast fillets. Thirty different types of FMs that could be commonly found in poultry processing plants were used as samples and prepared in two different sizes (5 × 5 mm<sup>2</sup> and 2 × 2 mm<sup>2</sup>). The accuracies of the developed Fusion model for detecting 2 × 2 mm<sup>2</sup> pieces of polymer, wood, and metal were 95%, 95%, and 81%, respectively, while the detection accuracies of the Fusion model for detecting 5 × 5 mm<sup>2</sup> pieces of polymer, wood, and metal were all 100%. The performance of the Fusion model was higher than the VNIR- and SWIR-based detection models by 18% and 5%, respectively, when F1 scores were compared, and by 38% and 5%, when average detection rates were compared. The study results suggested that the fusion of two HSI modalities could detect FMs more effectively than a single HSI modality.https://www.mdpi.com/2076-3417/11/24/11987foreign materialdata fusionhyperspectral imagingvisible-near infraredshort-wave infraredchicken fillet |
| spellingShingle | Soo Chung Seung-Chul Yoon Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral Imaging Applied Sciences foreign material data fusion hyperspectral imaging visible-near infrared short-wave infrared chicken fillet |
| title | Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral Imaging |
| title_full | Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral Imaging |
| title_fullStr | Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral Imaging |
| title_full_unstemmed | Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral Imaging |
| title_short | Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral Imaging |
| title_sort | detection of foreign materials on broiler breast meat using a fusion of visible near infrared and short wave infrared hyperspectral imaging |
| topic | foreign material data fusion hyperspectral imaging visible-near infrared short-wave infrared chicken fillet |
| url | https://www.mdpi.com/2076-3417/11/24/11987 |
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