Damdinova T.T., Nikiforova A.P., Prudova L.Y., Bubeev I.T. —
The use of digital image processing methods to determine the moisture-binding capacity of meat and fish products
// Software systems and computational methods. – 2019. – ¹ 3.
– P. 20 - 29.
DOI: 10.7256/2454-0714.2019.3.30646
URL: https://en.e-notabene.ru/itmag/article_30646.html
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Abstract: The article presents the results of determining the moisture-binding ability and plasticity of food products. Many indicators depend on the ability of meat and fish to bind moisture, including juiciness, tenderness, yield, loss during heat treatment, and appearance. The objects for research were Baikal omul, fresh and salted, beef meat in thawed condition. The moisture-binding ability and plasticity of the objects of study were evaluated by the pressing method. The paper presents the calculations performed using the traditional method and the method of digital processing of color images. Digital image processing was performed using a program developed by the authors, the article provides drawings and tables obtained during image processing. The undoubted advantage of the processing program compared to the traditional method is a significant reduction in time for processing images and the ability to process a large amount of data in a short time. When creating the necessary shooting conditions, the digital image processing method for determining the moisture-binding ability and plasticity of food products can be successfully used for laboratory research in determining the quality of meat and fish products.