Meat product freshness detection method based on spectral imaging technology

Abstract

The invention relates to a meat product freshness detection method based on a spectral imaging technology; the detection method includes the steps: acquiring a hyperspectral image of a meat product sample; detecting the content of a freshness component corresponding to the meat product sample; extracting a meat product sample-corresponding interest region in the hyperspectral image, and extracting spectral characteristics and image texture characteristics of the meat product sample; according to the content of the freshness component of the meat product sample and the spectral characteristics and the image texture characteristics of the meat product sample-corresponding interest region, building a prediction relational model of the content of the freshness component of the meat product sample; through an acquired hyperspectral image of a to-be-tested meat product, adopting the pre-built prediction relational model to invert to obtain the content of the freshness component of the to-be-tested meat product. The method can realize objective and quantitative detection of the freshness of the meat product, can simplify the detection process of the freshness of the meat product, shortens the detection period, and reduces the detection cost.

Description

technical field [0001] The invention relates to the field of meat product detection, in particular to a method for detecting the freshness of meat products based on spectral imaging technology. Background technique [0002] Meat products are rich in protein, fat and minerals, and because of their delicious taste and convenient eating, they are deeply favored by consumers. The degree of corruption and deterioration of meat products during storage and the authenticity of shelf life have always been the focus of attention. Freshness is a direct reflection of meat quality, and it is also one of the important indicators for measuring the quality of fresh meat and meat products. Therefore, testing the freshness of meat products in order to clarify the freshness evaluation standards and judge the storage period of meat spoilage is to meet the growing demand of consumers for the quality of meat products, and also to scientifically guide the quality of meat products. The process of...

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Problems solved by technology

However, such methods do not consider the rich spatial image feature information of meat samples, so the detection accuracy will be affected by the uneven feature distribution of the meat surface.

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