Automatic Segmentation of Leukocytes for the Detection of Leukemia Using a New Computing Algorithm

Hematological disorders refer to the diseases caused with the changes in blood cells or blood system such as Leukemia, Anemia, Malaria and Azotemia. Leukocytes are the cells of immune system derived in the bone marrow as hematopoietic stem cell. The presence of immature cells changes the granularity and geometry of leukocytes. Detection of white blood cells plays an important role in the diagnosis of diseases like leukemia. Features such as nucleus and cytoplasm area, average color co-ordinates and number of pixels in the nuclear perimeter are used. Accurate classification of human blood cells plays a decisive role in the diagnosis and treatment of diseases. Hematological disorders refer to the diseases caused with the changes in blood cells or blood system such as Leukemia, Anemia, Malaria and Azotemia. This paper explores the techniques used in the automatic segmentation of leukocytes using a new computing technique.