New method for white blood cell detection based on<br /> boundary support vectors<br />
Journal Title: Science Paper Online - Year 2009, Vol 4, Issue 2
Abstract
White blood cell detection is one of the most fundamental and key steps in the automatic recognition system of white blood cells in microscopic blood images. Its accuracy and stability greatly affect the recognition accuracy of the whole system. In this paper, a new method for white blood cell detection based on boundary support vectors is proposed. Support vector regression (SVR) is introduced, and sparse boundary support vectors are obtained while fitting the 1D histogram by SVR, and then so-needed threshold values are directly sifted from these limited support vectors. The proposed method is applicable to color microscopic images. It can effectively reduce the influence brought by illumination and staining. It also has the advantages, such as good segmentation performance, high computing efficiency and easy parameter setting, which are helpful for the following feature extraction and classification and for the recognition accuracy improvement of the whole system. Experimental results demonstrate its good performances.
Authors and Affiliations
Min WANG, Rong CHU, Xiaoqin ZENG
Keywords
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- EP ID EP96802
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