Blood cell recognition based on wavelet packet analysis and the neural network / 中国医疗器械杂志

ABSTRACT

In this paper, we present a blood cell recognition method based on wavelet packet analysis and the neural network. The blood cell signals were decomposed, then the discrete wavelet coefficients were reconstructed and energy values were calculated. The energy values together with seven features in time domain were used as the inputs of the BP network. Finally the network was established and trained. The accuracies of recognition on different conditions are discussed too. The experimental results show that the proposed method has a high accuracy of recognition.