Design of food quality screening system based on image processing
Aiming at the requirement of intelligent quality recognition in rice processing,a rice quality recognition system based on image processing was proposed.Firstly,the area method was used to detect the integrity of the appearance of rice,and then the rice was divided into whole grains and broken rice.Secondly,on the basis of complete grain partitioning,Sparrow Search Algorithm(SSA)was used to optimize the parameters of Support Vector Machine(SVM),and the complete grain hue and chalkiness were identified.To distinguish the perfect grain,chalky grain and yellow rice grain,and then complete the identi-fication of rice quality.The experimental results showed that the accuracy of rice size classification by area method was 94.3%.On the basis of whole grain recognition,the SSA-SVM classification model has a recognition accuracy of 98.21%,which is 1.63%higher than the traditional SVM classification,showing good recognition accuracy.The above algorithms can be deployed in the recognition software to identify and classify rice quality effectively.It is concluded that the above identification scheme is feasible and can be used for rice quality processing.
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