FAST AND RELIABLE DISEASE DIAGNOSIS THROUGH DIGITISED IMAGES OF BLOOD

Principal effectors in the blood i.e. Erythrocyte, Leukocyte and Platelets of the blood play a crucial role in supplying blood to the various parts of the body, resisting foreign particles and in clotting of blood respectively. The effectors are identified and skipped for our observation. In microscopic images of the diseased blood cells, the diagnosis is based on the evaluation of some general features of the blood cells such as color, shape, and border, and the presence and the aspect of characteristic structures. Perception of these structures depends both on magnification and image resolution. The introduction of vision system associated with image processing techniques enables the numerical and objective description of some pattern cells features. This paper is the implementation of a simple, fast and reliable method for automatically diagnosing diseases through digitized images of blood. A new algorithm is proposed which will efficiently reduce the overall running time of object recognition.