Abstract

The presence of parasitic nematodes in fillets of commercially important fish species has been a serious quality problem for the fishing industry for several decades. Various approaches have been tried to develop an efficient method to detect the parasites, but so far the only reasonable solution is manual inspection and trimming of each fish fillet on a candling table. In this study we have investigated how multispectral imaging in combination with SIMCA classification can be used for automatic detection of parasites. The results indicate that the spectral characteristics of nematodes differ sufficiently from those of fish flesh to allow one to obtain fairly good classifications. The method is able to detect parasites at depths down to about 6 mm into the fish muscle. The method shows promising results, but further studies are required to verify feasibility for the fish industry.

Utilization of laser-induced breakdown spectroscopy, with principal component analysis and artificial neural networks in revealing adulteration of similarly looking fish fillets

Omnia Hamdy, Zienab Abdel-Salam, and Mohamed Abdel-Harith
Appl. Opt. 61(34) 10260-10266 (2022)

Classification of peacock feather reflectance using principal component analysis similarity factors from multispectral imaging data

José M. Medina, José A. Díaz, and Pete Vukusic
Opt. Express 23(8) 10198-10212 (2015)

Wavelength selection of multispectral imaging for oil palm fresh fruit ripeness classification

Minarni Shiddiq, Herman Herman, Dodi Sofyan Arief, Edy Fitra, Ikhsan Rahman Husein, and Sinta Afria Ningsih
Appl. Opt. 61(17) 5289-5298 (2022)

Comprehensive study of solid pharmaceutical tablets in visible, near infrared (NIR), and longwave infrared (LWIR) spectral regions using a rapid simultaneous ultraviolet/visible/NIR (UVN) + LWIR laser-induced breakdown spectroscopy linear arrays detection system and a fast acousto-optic tunable filter NIR spectrometer

Clayton S.C Yang, Feng Jin, Siva R. Swaminathan, Sita Patel, Evan D. Ramer, Sudhir B. Trivedi, Ei E. Brown, Uwe Hommerich, and Alan C. Samuels
Opt. Express 25(22) 26885-26897 (2017)

3D and Multispectral Imaging for Subcutaneous Veins Detection

Vincent C. Paquit, Kenneth W. Tobin, Jeffery R. Price, and Fabrice Mériaudeau
Opt. Express 17(14) 11360-11365 (2009)