ANALYSIS OF LEUKEMIA CELL EXTRACTION AND DETECTION USING WATERSHED TECHNIQUE

Abstract

There are several diseases such as different types of cancers which can be predicted very finely by Image Processing methods from the Blood Samples. Without treatment, this cancer may be the cause of many deaths. Based on the statistics it is been realized that it is the fifth and sixth cause of death among men and women with this cancer. The main objective is to predict cancer cell in blood samples i.e. acute leukemia. Acute leukemia is a disease of the leukocytes and their precursors. It is characterized by the appearance of immature, abnormal cells in the bone marrow, peripheral blood and frequently in the liver, spleen, lymph nodes, and other parenchymatous organs .The segmentation of the blood smear aspirate by applying the watershed transformation, selection of individual cells, and feature generation on the basis of texture, statistical and geometrical analysis of the cells. The leukemia cells are important to calculate because the leukemia cells show us the various types of infected cells which may cause various types of diseases. To prevent human life from various diseases caused by infected blood cells one should know about his blood cells, the Simulation of blood cells will be done on MALTAB from original blood sample image from Clinical Laboratory.