Nutritional properties and quality assessment of breaded deep-frozen pollock fish cutlets using neural image analysis

A. Duda; C. Duda; M. Szychta; Ł. Gierz; K. Przybył; Krzysztof Koszela

doi:10.1117/12.2602018

30 June 2021 Nutritional properties and quality assessment of breaded deep-frozen pollock fish cutlets using neural image analysis

A. Duda, C. Duda, M. Szychta, Ł. Gierz, K. Przybył, Krzysztof Koszela

Author Affiliations +

Proceedings Volume 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021); 118781W (2021) https://doi.org/10.1117/12.2602018
Event: Thirteenth International Conference on Digital Image Processing, 2021, Singapore, Singapore

Abstract

The aim of the research presented in this work was to develop a model of Artificial Neural Networks (ANN) with the use of computer image analysis for the qualitative classification of deep-frozen raw material - breaded pollock cutlets (Backfisch). Shape and color discriminants were selected, by using a computer program, it was possible to obtain numerical data and build a learning set from them. This work is an example of using one of the methods of artificial intelligence in the food industry. The designed network was characterized by a very high ability for classification, its training was done by the technique of the so-called " with a teacher". Such actions are motivated by the requirements of consumers who are becoming more and more attentive to the products they consume and expect calorically balanced and very high quality products.

Citation Download Citation

A. Duda, C. Duda, M. Szychta, Ł. Gierz, K. Przybył, and Krzysztof Koszela "Nutritional properties and quality assessment of breaded deep-frozen pollock fish cutlets using neural image analysis", Proc. SPIE 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 118781W (30 June 2021); https://doi.org/10.1117/12.2602018

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