[Blood cell recognition based on wavelet packet analysis and the neural network].
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.
Jia
Dan-Dan
DD
College of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang Province, 315211. dandanjia@gmail.com
Li
Hong
H
D001773:Blood Cells / Q000502:physiology*; D006801:Humans; D016571:Neural Networks, Computer; D058067:Wavelet Analysis