Detection and grading system for tenderness of fresh beef based on multispectral imagery

Abstract

The invention relates to a detection and grading system for tenderness of fresh beef based on multispectral imagery, which belongs to the technical field of detection of food quality. In a dark box, the lens of a CCD industrial camera is aligned with the center of a table board of a height-adjustable objective table, two multispectral light source assemblies are symmetrically arranged at a left sidewall and a right sidewall of the dark box respectively through two light source fixing supports, and a large power LED array on each of multispectral light source assemblies is composed of LEDs of 6 kinds of wave bands; during detection, a sample to be detected is put on the table board of the height-adjustable objective table, the LEDs of 6 kinds of wave bands alternately radiate in order, the CCD industrial camera acquires multispectral images of the sample to be detected, a multispectral beef sample reflection image in an interested area of a lean meat part is extracted through computer image processing, and therefore, marbling of beef is extracted, and evaluation and grading of content of marbling of the beef are carried out, and tenderness of the beef is predicted. The detection and grading system provided by the invention is applicable to companies dealing with cutting, marketing, processing and import and export of fresh beef and to market supervision by quality and technical supervision departments.

Description

technical field [0001] The invention belongs to the technical field of food quality detection, in particular to a fresh beef tenderness detection and grading system based on multi-spectral image technology. Background technique [0002] Since the reform and opening up, my country's beef cattle industry has developed vigorously, and beef production has also increased year by year. In recent years, the annual slaughtering volume of cattle has ranked first in the world, and the meat production is second only to the United States and Brazil. However, from the perspective of international competitiveness, my country's beef export volume is less than 1% of the annual output, far behind the United States, Australia, Brazil, Japan and other beef industry powerhouses. One of the important reasons is that the current situation of my country's beef industry is that the quality of beef is uneven, with most low-grade beef, and the production level of high-quality beef lags far behind th...

AI Technical Summary

Problems solved by technology

For example, the vibration of the mechanical device affects the imaging accuracy, and the slight difference in the installation angle of the filter causes the imaging displacement of different wavelengths, resulting in low spatial spectral resolution; the hole position of the wheel is limited, and the imaging wavelength range is narrow; the speed of the multi-hole wheel is slow, and the shooting time Long; the wavelength accuracy is limited by the filter specifications, and inconsistency may easily cause hardware system instability

These problems not only increase the detection cost and reduce the detection efficiency, but also are not suitable for the development of portable multispectral detection instruments or for online detection

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