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| An Intelligent Algorithm for Blood Cell Recognition Based on HHT-BPNN |
| Lixia Wan, Wei Long, Fugui Li, Liang Luo |
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Abstract For the blood cell signal has the characteristics of nonlinear,
non-stationary and M-morphous, an intelligent algorithm for blood
cell recognition based on Hilbert-Huang Transformation and BP Neural
Network (HHT-BPNN) is put forward, which convert the time domain
features of the blood cell signal into energy features by combining
empirical mode decomposition with Hilbert transform, and put the
time domain features and the energy features together as the feature
vector. Then, a model based on BP neural network is built by
trainning and simulating that complete the work of effective
identification and accurate count for M-morphous blood cells.
Simulation results show that the algorithm proposed has high
recognition accuracy with good recognition performance.
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| Cite this article: |
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Lixia Wan,Wei Long,Fugui Li, et al. An Intelligent Algorithm for Blood Cell Recognition Based on HHT-BPNN[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(2): 357-364.
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2015, Vol. 8 
