计算机工程与应用Issue(10)：266-270,5.DOI:10.3778/j.issn.1002-8331.1309-0403
HHT和神经网络结合的血细胞识别算法
Blood cell recognition on combination of HHT and neural network
摘要
Abstract
Polymorphous blood cell signal affects cell classification and counting. This paper proposes an algorithm com-posed with Hilbert-Huang Transform(HHT)and neural network to recognize blood cell. The energy features of blood cell signal, extracted with empirical mode decomposition and Hilbert transform are combined with time domain features to constitute eigenvector. A model on neural network is built and trained and simulated to recognize blood cells. Simulation results show that the algorithm has high accuracy and good effect on recognition.关键词
希尔伯特黄变换(HHT)/经验模态分解(EMD)/神经网络/血细胞识别/特征提取Key words
Hilbert-Huang Transform(HHT)/Empirical Mode Decomposition(EMD)/neural network/blood cell recog-nition/feature extraction分类
信息技术与安全科学引用本文复制引用
龚莹,龙伟,李蒙,张晓..HHT和神经网络结合的血细胞识别算法[J].计算机工程与应用,2014,(10):266-270,5.基金项目
国家自然科学基金（No.61261911）。 （）
