The Study Of Recognition Method Of Egg Fresh Degree By BP Neural Network

Poultry egg is very popular with consumers because of its high nutrition. The inside quality of egg influences edible quality directly. In circulating of sale and processing, if it can be graded and priced depends on the quality according to fresh degree and the weight, it may not only protect consumers' benefit but also help the managers and operators to adopt scientific management, to guarantee the quality of egg. So how to high-efficiently detect the fresh degree of egg, is an underlying subject.The research principle to establish the model of egg fresh degree is: According to the optics characteristic of egg, the longer the store time, the transmission rate of the fresh egg is lower. When the transmission rate changes, it indicates that the inside quality of the egg has changed, which can reflect with the change of color information within the egg.The relevant relation is established between egg fresh degree (Haff value) and the egg information parameter with machine vision and neural network technology in this research. The model of egg fresh degree is set up according to the course: Draw the color information (H, I, S) of the egg on the experimental rig first. The testing equipment is made up of light source, light room, video capture card, CCD camera and the computer. Light source and light room offer the environment of testing the egg image; The CCD camera takes a photograph of the egg, then the video capture card sends it into the computer after digitization the picture; After analysing the egg picture with the procedure that was worked out, the egg picture parameter (H, I, S ) was drawn. And then the egg was broken, the true fresh degree of the egg (Haff value) was measured and calculated. The Haff value and the egg information parameter (H, I, S) were corresponded as the sample data. The BP neural network model was established by Using MATLAB, whose structure is: Input layer has 3 neurons; Imply layer has 20 neurons, shift function is tansig; Export layer has 3 neurons, shift function is purelin. On the basic of setting up BP neural network model of detecting the egg fresh degree, the automatic detection system was designed in this article, which can immediately show the differentiating result according to the egg's color data after the network initialize.Detecting the egg fresh degree with BP neural network technology based on MATLAB, the method is high-efficient and feasible; The egg fresh degree (Haff value) has something to do with the color information(H , I , S ) within the egg. BP neural network is established according to the two sample data, which has wonderful function and robust property. Through experiment, the correct discerning rate with network is:white shell egg of light color -88.7%, brown shell egg of dark color -90.8%, mix eggs -88.57%; From the test result, it shows that the correct discerning rate of the dark egg is highest, the light-colored egg takes second place, the mix eggs is slightly lower. The method can be used to detect the other inside quality of egg product.