A novel multispectral imaging analysis method for white blood cell detection

Authors:
Hongbo Zhang;Libo Zeng;Hengyu Ke;Hong Zheng;Qiongshui Wu
Affiliations:
School of Electronic Information, Wuhan University, Wuhan, P.R. China;School of Electronic Information, Wuhan University, Wuhan, P.R. China;School of Electronic Information, Wuhan University, Wuhan, P.R. China;School of Electronic Information, Wuhan University, Wuhan, P.R. China;School of Electronic Information, Wuhan University, Wuhan, P.R. China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Year:
2005

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Abstract

This paper presents a novel approach for automatic detection of white blood cells in bone marrow microscopic images. Far more different from traditional color imaging analysis methods, a multispectral imaging techniques for image analysis is introduced. Multispectral image can not only show the spatial features of a cell, but also reveal the unique spectral information of each pixel. The supported vector machine (SVM) classifier is employed to train the spectrum vector of a pixel, and the output of the classifier can indicate the class type of the pixel: nucleus, erythrocytes, cytoplasm and background. Experimental results show that, compared with any other method previously reported, our method is more robust, precise and insensitive to smear staining and illumination condition.