Inspecting species and freshness of fish fillets using multimode hyperspectral imaging techniques

Jianwei Qin; Fartash Vasefi; Rosalee S. Hellberg; Alireza Akhbardeh; Rachel B. Isaacs; Ayse Gamze Yilmaz; Chansong Hwang; Insuck Baek; Walter F. Schmidt; Moon S. Kim

doi:10.1117/12.2558684

22 April 2020 Inspecting species and freshness of fish fillets using multimode hyperspectral imaging techniques

Jianwei Qin, Fartash Vasefi, Rosalee S. Hellberg, Alireza Akhbardeh, Rachel B. Isaacs, Ayse Gamze Yilmaz, Chansong Hwang, Insuck Baek, Walter F. Schmidt, Moon S. Kim

Author Affiliations +

Proceedings Volume 11421, Sensing for Agriculture and Food Quality and Safety XII; 1142104 (2020) https://doi.org/10.1117/12.2558684
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

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.

Citation Download 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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Reflectivity

Raman spectroscopy

Short wave infrared radiation

Hyperspectral imaging

Machine learning

Principal component analysis

Inspection

Show All Keywords

Keywords/Phrases

Search In:

Publication Years