White Blood Cell Segmentation and Counting Using Global Threshold

Blood helps our body fight off infectious agents and inactivates toxins, stops bleeding through its clotting ability, and regulates our body temperature. Doctors rely on many blood tests to diagnose and monitor diseases the idea of our paper is to serve the pathologists, medical technicians for the same, by using Image Processing techniques. Manual process of counting is a very time consuming task. Then an automatic and efficient system is necessary and helpful In this paper Image Arithmetic and Global Threshold Method WBC nucleus segmentation that can be used to separate the nucleus from the blood smear image by using a combination of automatic contrast stretching, image arithmetic operation, minimum filter and global threshold techniques so it is able to segment specific isolated cell from its background and we present a method for blood cell image segmentation and counting.