Determining Numbers of Red Blood Cells in Blood Smear Images Using Blob Detection


Counting of red blood cells (RBCs) in blood smear images is significant to detect and follow the process of treatment in some blood diseases like Anemia, malaria, leukemia …. etc. The determination and counting of RBCs manually is boring and time-consuming, but it can be simplified by means of automatic analysis. In this paper, a new algorithm is proposed to segment and count of RBCS in microscopic blood cell images using Blob detection, the proposed algorithm consists of three stages: preprocessing, edges detection and segmentation. Determining the number of RBCs is made by using (65) samples microscopic images and the best counting rates (93.6 %) is achieved when using Blob detection method compared with conventional manual counting method.