An approach for leukocytes nuclei segmentation based on image fusion

Now day´s blood smear evaluation is a most common clinical test for the hematologists. In Most of the cases like Neutrophilia, Acute leukemia, the hematologists are eager to know about the leukocytes (WBCs) only that are detected based on the condition and blood count of the leukocytes in human body. Leukocytes cell have a complex background surrounding and its morphological structures such as nucleus and cytoplasm. Medical Imaging can help hematologist in their diagnosis by automatically extracting the nucleus from the leukocyte cell. In comparison of the existing Otsu´s method this paper presents the consistent approach for automatic blood cell segmentation that is high discriminated based on PCA fusion by improving Otsu´s with few preprocessing and post-processing techniques in order to provide an improved image for human perception and for further processing of classification of blood cells.