A Novel Method of White Blood Cell Segmentation and Counting

The quantity of WBC Cell is very important for the doctor for doing diagnosis for various diseases. So, exact counting of cell plays very important role. Manual process of counting is a very time consuming task, and has less precision. So an automatic counting process is very important to get high precision results. For the counting of cell requires segmentation of the cell, for classifying purpose. In this paper, we propose a new algorithmto segment the image. Firstly, the proposed algorithm is used to remove noise Second algorithm used for the segmentation of image is by using watershed algorithm. The watersheld is just a method to determine separate regions can be counted efficiently.