Blood Microscopic Image Analysis for Acute Leukemia Detection

Leukemia is the type of blood cell cancer and it actually starts from the bone marrow and then it affects the blood cells. It is said to be cancerous when a large number of abnormal White Blood Cells (WBC) enter into bone marrow and it does not respond to the cell growth inhibitors which leads to Acute Lymphocytic leukemia (ALL). The main aim of this paper is to analyze the blood microscopic images for ALL detection. The ALL is detected using the technique such as preprocessing, segmentation, feature extraction and classification. The technique of segmentation and feature extraction aims at the clear view of the structure of WBC nucleus and to classify the lymphocyte as normal or lymphoblast. In this work the leukocytes are separated from the other blood cells and then the lymphocytes are extracted from the subclass, fractal features, shape features and other texture feature. These features greatly help in identifying the structures of lymphocytes and differentiating them from the cancerous cell. This identification process is of importance in differentiating and detecting the cancerous cell.