A method based on multispectral imaging technique for White Blood Cell segmentation

Authors:
Ningning Guo;Libo Zeng;Qiongshui Wu
Affiliations:
Electronic Information School, Wuhan University, Wuhan 430072, PR China;Electronic Information School, Wuhan University, Wuhan 430072, PR China;Electronic Information School, Wuhan University, Wuhan 430072, PR China
Venue:
Computers in Biology and Medicine
Year:
2007

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Abstract

Aiming at the problem of image analysis of White Blood Cells in bone marrow microscopic images, multispectral imaging techniques with spectral calibration method was proposed to acquire device-independent images, which is almost impossible in conventional color imaging method. For image segmentation, Support Vector Machine (SVM) was applied directly to the spectrum of each pixel, and using sequential minimal optimization (SMO) algorithm for feature selection to reduce the time of training SVM classifier. Mass of experiments showed that the method is robust, effective and insensitive to smear staining and illumination condition.