Detection model of unfertilized egg based on improved projection pursuit and fuzzy neural network
1.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; 2.Department of Information Technology, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang 163319, China; 3.Department of Computer ＆ Information Technology, Northeast Petroleum University, Daqing, Heilongjiang 163318, China; 4.Department of Agriculture, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang 163319, China
Abstract：To overcome the complexity and ambiguity of nondestructive detection characteristics for unfertilized eggs based on computer vision technology, an improved projection pursuit method combined with fuzzy neural network was proposed to decide whether the eggs were fertilized. The feature vector of complex shape of egg images was extracted to reduce the dimensionality by quantum projection pursuit technology. An improved quantum genetic algorithm was established to calculate the best projection direction. The nondestructive detection method was realized to diagnose whether the eggs were fertilized based on automatic decision inference rule of fuzzy neural network. The results show that the proposed method can meet actual testing requirements with high speed, good stability and robustness, and the accuracy can reach 99.37%.
2013, Vol. 34 
