Inspecting Species and Freshness of Fish Fillets Using Multimode Hyperspectral Imaging Techniques

Authors

Jianwei Qin, USDA/ARS Environmental Microbial and Food Safety Laboratory
Fartash Vasefi, SafetySpect Inc.
Rosalee S. Hellberg, Chapman UniversityFollow
Alireza Akhbardeh, SafetySpect Inc.
Rachel B. Isaacs, Chapman University
Ayse Gamze Yilmaz, Chapman University
Chansong Hwang, USDA/ARS Environmental Microbial and Food Safety Laboratory
Insuck Baek, USDA/ARS Environmental Microbial and Food Safety Laboratory
Walter F. Schmidt, USDA/ARS Environmental Microbial and Food Safety Laboratory
Moon S. Kim, USDA/ARS Environmental Microbial and Food Safety Laboratory

Document Type

Conference Proceeding

Publication Date

4-22-2020

Abstract

This study developed multimode hyperspectral imaging techniques to detect substitution and mislabeling of fish fillets. Line-scan hyperspectral images were collected from fish fillets in four modes, including reflectance in visible and nearinfrared (VNIR) region, fluorescence by 365 nm UV excitation, reflectance in short-wave infrared (SWIR) region, and Raman by 785 nm laser excitation. Fish fillets of six species (i.e., red snapper, vermilion snapper, Malabar snapper, summer flounder, white bass, and tilapia) were used for species differentiation and frozen-thawed red snapper fillets were used for freshness evaluation. A total of 24 machine learning classifiers were used for fish species and freshness classifications using four types of spectral data in three different subsets (i.e., full spectra, first ten components of principal component analysis, and bands selected by a sequential feature selection method). The highest accuracies were achieved at 100% using full VNIR reflectance spectra for the species classification and 99.9% using full SWIR reflectance spectra for the freshness classification. The VNIR reflectance mode gave an overall best performance for both species and freshness inspection.

Comments

This is a pre-copy-editing, author-produced PDF of a conference proceeding accepted for publication in Proceedings of the SPIE, volume 11421, in 2020. The definitive publisher-authenticated version is available online at https://doi.org/10.1117/12.2558684

Recommended Citation

Jianwei Qin, Fartash Vasefi, Rosalee S. Hellberg, Alireza Akhbardeh, Rachel B. Isaacs , Ayse Gamze Yilmaz, Chansong Hwang, Insuck Baek, Walter F. Schmidt, and Moon S. Kim "Inspecting species and freshness of fish fillets using multimode hyperspectral imaging techniques", Proc. SPIE 11421, Sensing for Agriculture and Food Quality and Safety XII, 1142104 (22 April 2020); https://doi.org/10.1117/12.2558684

Copyright

Society of Photo-Optical Instrumentation Engineers (SPIE)