Study On Classified Technology For Egg Quality Based On Expert System

Egg appearance parameters such as weight and surface crack are the key indexes which measure the egg's external quality. This paper makes use of the image-processing technology to collect parameters through analyzing the external appearance picture of the eggs, builds up an expert system to grade the eggs based on the external appearance quality. The main contents are as follows:The experiment device is improved based on the original experiment. Through adjusting the parameters of the camera and image acquisition software, the more clearly and lower distortion pictures of the eggs are gotten. The captured egg images are pre-processed with the image-processing technology to extract the relevant feature parameters, such as egg shape index, weight and eggshell surface crack.On the basis of the group's researching, the text combines the Artificial Neural Network technology into Expert System based on the external appearance quality according to eggs feature extraction and classification of the individual indicators algorithm theory. Make use of C language to compile the Artificial Neural Network procedure, then make use of sample data to train network, in order to build up the knowledge database that the Expert System needs. Finally, complete the design of the egg quality testing expert system.Based on Visual C++6.0 programming language, make use of programming method which cater to object to design a man-machine interface of Expert System which based on Neural Network. The system is easy for the users carry out the operation of egg external quality rating.