Beef quality intelligent grading system and method based on machine vision

Abstract

The invention discloses a beef quality intelligent grading system and method based on machine vision. The system comprises a beef carcass placing platform, a camera obscura with a camera and a beef quality grading module, wherein the camera in the camera obscura is used as a collection device of the beef carcass information for collecting image signals of a beef carcass to be detected on the beefcarcass holding platform; the output of the camera is connected with the beef quality grading module; and the output of the beef quality grading module is used as the output beef grading information of the beef quality intelligent grading system based on the machine vision. In the invention, a digital image processing technique is utilized to carry out relevant required processing on the collected cross section image of the beef carcass; three indexes, such as marbling, fat color and red beef color in an effective musculus ocularis area are utilized for analyzing, thus the whole beef carcass can be graded effectively, the shortage of misjudgement of the traditional beef grading system in which a single index is used can be overcome, and the accuracy and the objectivity of grading can be greatly improved.

Description

technical field [0001] The invention relates to the detection and determination of beef quality grades, and belongs to the national meat quality safety control project, in particular to an intelligent beef quality grading system and method based on machine vision. Background technique [0002] At present, in the traditional beef processing industry, the grading information of the eye muscle section of the carcass is usually obtained by manual measurement or visual inspection to realize the grading of beef. Evaluation indicators include beef marbling, beef color, beef physiological maturity and beef fat color, etc. Among them, beef marbling grade is the most important evaluation indicator. When grading beef quality, professional beef graders usually observe the richness of intramuscular fat at the cross-section of the 12th to 13th or 6th to 7th intercostal eye muscles of the beef carcass at the beef processing site , to evaluate the marbled grade of the beef, and then refer ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the existing beef quality intelligent grading system can only judge the beef grade through the distribution of the marbling in the effective eye muscle area on the cross section of the beef carcass, and propose a machine-based system that can comprehensively evaluate the beef grade. Visual beef quality intelligent grading system and its method

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