Precise segmentation of White Blood Cells by using multispectral imaging analysis techniques

摘要：

Counting of different classes of white blood cells in bone marrow smears can give pathologists valuable information regarding various hematological disorders.For automation imaging analysis techniques,precise segmentation of White Blood Cells is quite challenging due to the complex contents in bone marrow smears.Far more different from traditional color imaging analysis methods,we introduced multispectral imaging techniques.After a high quality image was acquired,the spectrum of each pixel was directly fed into a trained Support Vector Machine(SVM)for classification,and then morphological binary operations were performed to correct the small error-classified regions.Mass of experiments showed that the segmentation results are highly satisfactory and inspiring.It shows that the introduction of multispectral imaging analysis techniques into White Blood Cells detection is a success.Multispectral imaging analysis is a promising technique in biomedicine.

关键词： White blood cells bone marrow image multispectral imaging analysis segmentation SVM

作者: Qiongshui Wu Libo Zeng Hong Zheng Ningning Guo

作者单位: Electronic Information School,Wuhan University,Wuhan,430079,P.R.China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）