Computer vision-based sorting of Atlantic salmon (Salmo salar) fillets according to their color level.

J Food Sci

SINTEF Fisheries and Aquaculture, N-7465 Trondheim, Norway.

Published: January 2007

Computer vision method was used to evaluate the color of Atlantic salmon (Salmo salar) fillets. Computer vision-based sorting of fillets according to their color was studied on 2 separate groups of salmon fillets. The images of fillets were captured using a digital camera of high resolution. Images of salmon fillets were then segmented in the regions of interest and analyzed in red, green, and blue (RGB) and CIE Lightness, redness, and yellowness (Lab) color spaces, and classified according to the Roche color card industrial standard. Comparisons of fillet color between visual evaluations were made by a panel of human inspectors, according to the Roche SalmoFan lineal standard, and the color scores generated from computer vision algorithm showed that there were no significant differences between the methods. Overall, computer vision can be used as a powerful tool to sort fillets by color in a fast and nondestructive manner. The low cost of implementing computer vision solutions creates the potential to replace manual labor in fish processing plants with automation.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1750-3841.2006.00241.xDOI Listing

Publication Analysis

Top Keywords

computer vision
16
fillets color
12
computer vision-based
8
vision-based sorting
8
atlantic salmon
8
salmon salmo
8
salmo salar
8
salar fillets
8
color
8
salmon fillets
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!