In order to solve the problem of low sorting efficiency after picking and shelling of Camellia fruits in machine-vision,the paper proposes a preference artificial immune network algorithm(aiNet)with multi-features,which applies the multi-objective optimization of artificial immune network and preference database to extract the multi-features in color and shape of Camellia objects to input into the immune network for simulation test.The test results show that the multi-features preference immune network proposed in this paper is feasible.The recognition rate of the network has reached 90%,and t...
