Study On The Relationship Between Microstructure Marbling Features And Beef Tenderness

Improving the beef grading system and method is good to establish the beef grading and quality inspection standards.At present,various countries in the world have taken some measures to evaluate the tenderness of the beef which mainly include artificial judgement and mechanical decision method.Artificial judgement method has high error detection rate and low efficiency.Although the accuracy of mechanical decision method is high,but its operating is cumbersome and time consuming.Therefore,developing a beef online detection technology with high efficiency and high accuracy has important significance for improving the beef grading system.This article find the high correlation index factors of tenderness according to the beef texture feature and internal biological factors.A prediction model of tenderness is established,it provide theoretical basis for the prediction of beef tender.The main research works and results of this paper are as follows:1.This paper sets up an experimental platform which can collect image online.It is composed of light box and conveyor.The collection of image is controlled by computer,photoelectric sensor,camera,light.The beef conveyor is controlled by the touch screen,frequency converter,motor.This experimental platform can realize online collection pictures,and the collected pictures have single background and is good for the image processing.2.Using MATLAB to dispose the beef image of 80 experimental samples.The image processing methods include image preprocessing,background removal,binarization,corrosion expansion and the extraction of beef rib-eye area.Eventually,it extracts the marbling area and the perimeter.Measure the shear force of of 80 experimental samples.Analyze the relationship between different age of beef and shear force,marbling area,marbling perimeter,the results show that with the increasing of beef age,the shear force increases significantly,the marbling area increases slowly,the marbling perimeter increases slowly.Analyze the correlation between the shear force and the marbling area,the marbling perimeter,the results show that the the shear force has significant negative correlation with the marbling area and the correlation coefficient is 0.540;the the shear force has significant negative correlation with the marbling perimeter and the correlation coefficient is 0.366.The correlation between the the shear force and the marbling area is higher than the correlation between the the shear force and the marbling perimeter.3.This paper gets the microscopic images of the muscle fiber by doing the frozen sections experiment.Using image-pro plus to operate the image,such as selection,modification,count and measure.Finally mearsure the diameter,the perimeter and the density of the beef muscle fiber.Measure the shear force of the beef samples.Analyze the relationship between different age of beef and the diameter,the perimeter and the density of the beef muscle fiber.the results show that with the increasing of beef age,the muscle fiber diameter increases significantly,the muscle fiber perimeter increases significantly,the muscle fiber density decrease slowly.Analyze the correlation between the shear force and the diameter,the perimeter and the density of the beef muscle fiber.,the results show that the the shear force has significant positive correlation with the muscle fiber diameter and the correlation coefficient is 0.798;the the shear force has significant positive correlation with the muscle fiber perimeter and the correlation coefficient is 0.788;the the shear force has significant negative correlation with the muscle fiber density and the correlation coefficient is 0.778.Among them,the correlation between muscle fiber diameter and shear force is highest.4.Build the forecast model of beef tenderness according to the correlation analysis of the characteristic index and the beef tenderness.The model expression is:Y= 17.445-1.525 f1+2.231f2,Y is shear force;f1 is the area of the marbling beef,f2 is the diameter of muscle fiber.The determination coefficient of the model is 0.731,it is highly correlated with the shear force.Select 20 group of beef datas for the comparison of the predicted values and the measured values,the results show that the average error between the predicted values and the measured values is only 3.97 N,It is an acceptable level,the prediction model is with high accuracy.