Method and apparatus for nondestructively testing food synthetic quality

Abstract

The invention discloses a non-destructive inspection method for the comprehensive quality of food and a device thereof, wherein image information reflecting characteristics of an inspected object, such as color, texture, size and shape, etc. is acquired by a machine vision system, and spectral information reflecting physical and chemical indexes of the sample such as moisture, sugar, protein, lipid and PH value, etc. is obtained by a spectrographic detection system, and the acquired image information and the spectral information undergo the preprocessing on the data layer and the information integration on the characteristic layer or the decision layer; together with a built food classification grading expert system, the quality of the inspection object is comprehensively graded. The invention comprehensively utilizes the light image information and the spectral information to inspect the appearance and inner quality of food, thereby the invention can make a quick, convenient, non-destructive and objective inspection on the comprehensive quality of food; the method and the device are widely used to classify food materials, monitor the food processing and grade the food, etc., which ensures the quality of food and contributes to the good quality and low price of food.

Description

technical field [0001] The invention relates to a nondestructive detection method and device for food comprehensive quality. Background technique [0002] With the improvement of people's living standards, the demand for food has gradually changed from quantity to quality. Traditional food quality testing mainly uses artificial sensory evaluation and conventional chemical analysis methods. Artificial sensory evaluation requires trained personnel to evaluate, and the evaluation results are subject to a certain degree; conventional chemical analysis methods have a long detection cycle and cumbersome steps, and the detection results depend on the technical level of the detection personnel. [0003] Machine vision technology uses various imaging systems instead of the human eye as an input sensitive means, and the computer replaces the brain to complete processing and interpretation. Since the research on remote sensing image analysis and biomedical image analysis achieved res...

AI Technical Summary

Problems solved by technology

[0004] The detection technology based on machine vision and spectral analysis has the advantages of being fast and non-destructive, and has little subjective and human influence. Quality or only a certain quality index is detected and graded, and there is no research on non-destructive testing of food comprehensive quality that uses machine vision and spectral analysis technology to collect relevant information and then perform fusion processing

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