Detection of Sharp Contour of the element of the WBC and Segmentation of two leading elements like Nucleus and Cytoplasm

Assessment of blood cells smear is a normally experimental test these days and the haematologists are spent most of the time or paying attention on white blood cells (WBCs) merely. To analysis, identification and diagnosis digital image processing techniques be able to help us. Based on the circumstances, amount and condition of the white blood cells infection like sensitive leukemia is detected. The major intention of this paper is to detect sharp contour of the element of the WBC and segment to its two leading elements like nucleus and cytoplasm. The segmentation is conducted by means of a planned segmentation framework that consists of an incorporation of quite a lot of digital image of each element of white blood cells. The differential counting and detecting of white blood cell and segmentation of nucleus and cytoplasm provides incredibly useful information to pathologist for identification and treatment of many diseases manually counting, detecting and segmentation of white blood cell and its elements is a tedious, time-consuming and vulnerable to inaccuracy procedure due to the boring nature of this process and that is why an automatic system is most wanted in this automatic process, segmentation and classification of white blood cell are the most vital stages. Segmentation of WBC from other blood elements is achieved using various image processing techniques. Applying threshold and a new algorithm on the microscopic image resulted in producing appropriate segmentation of the all component WBC blood elements.