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Color Based Segmentation of White Blood Cells in Blood Photomicrographs Using Image Quantization

Author Affiliations

  • 1Department of Computer Science, Islamia College Peshawar, Peshawar, K.P, PAKISTAN
  • 2Faculty of Computing, SZABIST, Dubai International Academic City, Dubai, U.A.E
  • 3Department of Pathology, Lady Reading Hospital, Peshawar, K.P, PAKISTAN

Res. J. Recent Sci., Volume 3, Issue (4), Pages 34-39, April,2 (2014)


Generally for various diseases blood is used as an indicator. It is composed of three types of cells; Red blood Cells (RBC), White Blood Cells (WBC) and Platelets. Different types of white blood cells or leukocytes are counted in a sample blood smear and give necessary information about various hematological diseases. Evaluating a blood smear for WBC’s with the help of digital image processing is faster, easier and has contributed strongly in Computer Aided Diagnosis (CAD). In this work, we have focused on the segmentation of white blood cells in blood smear photomicrographs and proposed a novel technique for segmentation which can exploit color, size and shape features of different types of objects present in a blood smear photomicrographs.


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