Segmentation using Morphological Watershed Transformation for Counting Blood Cells
نویسندگان
چکیده
Blood cell counting is a major field of study in biomedical engineering. In human blood cell segmentation cases, many methods are being studied and applied for obtaining better results. In this paper, we present an approach for counting different blood cells during blood smear test. The approach which is presented in this paper is by segmentation using morphological watershed transformation. Morphological operations are used for creating masks and marker-based watershed transform is used for segmentation of cells. Simulation results of counting red blood cells (RBCs), white blood cells (WBCs) and platelets in a blood smear test image are also presented. The simulations are done on MATLAB®.
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