NEW METHOD FOR WHITE BLOOD CELL DETECTION BASED ON RELEVANCE VECTOR MACHINE
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Abstract:
A new method for the white blood cell (WBC) detection is presented based on the relevance vector machine (RVM). Firstly, the sparse relevance vectors (RVs) are obtained while fitting the 1D histogram by RVM. Then, the needed threshold val ue is directly selected from these limited RVs. Finally, the entire connective W BC regions are segmented from the original image. The method is used for the WBC detection. It reduces the interference induced by the illumination and the stain ing. It has advantages of the high computation efficiency and the no extra param eter setting. Experimental results demonstrate good performances of the method.
Wang Min,Qiao Lishan. NEW METHOD FOR WHITE BLOOD CELL DETECTION BASED ON RELEVANCE VECTOR MACHINE[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2010,(3):269-274