Hyperspectral imaging for assessment of total fat in salmon fillets: A comparison between benchtop and snapshot systems

Dixit, Yash; Reis, Marlon M.

doi:10.1016/j.jfoodeng.2022.111212

Cited by 12 publications

(2 citation statements)

References 30 publications

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“…Using the aforementioned approaches, the authors not only predicted the overall fat and moisture content for the samples but also provided their spatial distribution within the salmon fillets (Figure 3). In a more technical approach, Dixit et al performed a comparison between two different hyperspectral technologies (line scan and snapshot) working in different spectral ranges for the determination of fat in Atlantic salmon [29]. The authors concluded that the spectral range from 670 to 950 nm was able to provide an equivalent performance in the prediction of fat compared to the spectral range from 550 to 1700 nm, which may lead to the use of cheaper instrumentation for this application due to the narrower spectral range needed.…”

Section: Applications Of Hyperspectral Imaging In the Seafood Industr...mentioning

confidence: 99%

Perspective Chapter: Hyperspectral Imaging for the Analysis of Seafood

Ortega¹,

Lindberg²,

Anderssen³

et al. 2023

Hyperspectral Imaging - A Perspective on Recent Advances and Applications

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Hyperspectral imaging technology is able to provide useful information about the interaction between electromagnetic radiation and matter. This information makes possible chemical characterization of materials in a non-invasive manner. For this reason, the technology has been of great interest for the food industry in recent decades. In this book chapter, we provide a survey of the current status of the use of hyperspectral technology for seafood evaluation. First, we provide a brief description of the optical properties of tissue and an introduction to the instrumentation used to capture these images. Then, we survey the main applications of hyperspectral imaging in the seafood industry, including the quantification of different chemical components, the estimation of freshness, the quality assessment of seafood products, and the detection of nematodes, among others. Finally, we provide a discussion about the current state of the art and the upcoming challenges for the application of this technology in the seafood industry.

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Section: Applications Of Hyperspectral Imaging In the Seafood Industr...mentioning

confidence: 99%

Perspective Chapter: Hyperspectral Imaging for the Analysis of Seafood

Ortega¹,

Lindberg²,

Anderssen³

et al. 2023

Hyperspectral Imaging - A Perspective on Recent Advances and Applications

View full text Add to dashboard Cite

show abstract

“…In some cases, fully standalone systems for HSI are also available 11 . For the application of interest in this study, that is, meat, VNIR HSI has been widely applied for the analysis of various types of meat such as chicken, 12 beef, 13 pork, 14 as well as seafood such as shrimps 15 and salmons 16 …”

Section: Introductionmentioning

confidence: 99%

A short note on deep contextual spatial and spectral information fusion for hyperspectral image processing: Case of pork belly properties prediction

Mishra,

Albano‐Gaglio,

Font‐i‐Furnols

2024

Journal of Chemometrics

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This study demonstrates a new approach to process hyperspectral images where both the contextual spatial information as well as the spectral information are used to predict sample properties. The deep contextual spatial information is extracted using the deep feature extraction from pretrained resnet‐18 deep learning architecture, while the spectral information was readily available as the average pixel values. To fuse the information in a complementary way, a multiblock modeling approach called sequential orthogonalized partial least squares was used. The sequential model guarantees that the information learned is complementary from spatial and spectral domains. The potential of the approach is demonstrated to predict several physical and chemical properties in pork bellies.

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