Determining the quality characteristics of ready-to-cook minced meat products through hyperspectral images

K. Kolev

Abstract. In the study a model has been developed for obtaining polarized hyperspectral images of ready-to-cook minced meat products. Polarized hyperspectral characteristics have been taken down, which confirmed the adequacy of the model developed for determining the quality characteristics of ready-to-cook minced meat products. An algorithmic structure has been developed of the software platform for objective quality grading of ready-to-cook minced meat products through processing of hyperspectral images. A system of zonal incremental scanning for quality grading of ready-to-cook minced meat products through processing of hyperspectral images has been proposed.

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