Image Segmentation and Counting of Red Blood Cells in Hepatitis B Patients

Abstract

Human blood contains RBCs, WBCs, platelets, and plasma. The counting of blood cells is important since it shows one's overall health. Counting Blood Cells encompasses all of the cells required to evaluate a person's health and diagnose illnesses. A lack of red blood cells (RBC), which account for 99 percent of all blood cells, causes a number of blood disorders. The typical wait time for blood results and reports in today's hospitals and clinical laboratories is currently 24 hours in cases of high-severity diseases with high mortality rates. For high-risk diseases such as hepatitis B, doctors and healthcare technicians advise patients to wait as little as possible and to begin treatment as soon as possible. The process starts with picture acquisition and image enhancement, which reduces noise in photos while preserving the edges, before converting them to binary images and separating the region of interest from the background. RBC is separated from the other blood components during the segmentation process. The blood image is morphologically treated before RBC counting is performed using the Hough transform, a powerful image segmentation technique.