http://iaeme.com/Home/journal/IJARET 174 editor@iaeme.com International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 10, Issue 5, September-October 2019, pp. 4-180. Article ID: IJARET_10_05_018 17 Available online at http://iaeme.com/Home/issue/IJARET?Volume=10&Issue=5 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 © IAEME Publication AUTOMATED SYSTEM FOR COUNTING BLOOD CELLS A. Sivasangari School of Computing, Sathyabama Institute of Science and Technology, Chennai, India. R. Gomathi M. School of Computing, Sathyabama Institute of Science and Technology, Chennai, India. Ananthi School of Computing, Sathyabama Institute of Science and Technology, Chennai, India. Ajitha.P School of Computing, Sathyabama Institute of Science and Technology, Chennai, India. Indira. K School of Computing, Sathyabama Institute of Science and Technology, Chennai, India. ABSTRACT The measure of blood cells of red blood and white blood plays a important role for the diagnostic to analyze and look at various illness such as anemia, leukemia etc. Accurate counting of blood cells plays a very important role in diagnosing diseases. Exiting methods took more time for processing and produced in accurate result. Hardware device such as Hematology counter is very expensive and every hospital can’t afford it. In order to overcome these problems, we are creating an android application with OpenCV libraries in Android Studio for a mobile device, the device can be connected to a microscopic camera via USB to take an image of the blood sample, this blood sample is later analyzed by implementing image processing approach of the blood using circular Hough transform and thresholding techniques. These separates the RBC and WBC by marking them, so that the algorithm can easily, detect and the counting of blood cells will be done on two microscopic blood images of each patient which will result in nearly accurate results than the present available methods. Accuracy and time consumption can be improved by using the proposed method of well-structured circle detection algorithm. Keywords: WBC, RBC, Hough Transform Cite this Article: Sivasangari, Gomathi, Ananthi, Ajitha.P and Indira. K, A. R. M. Automated System for Counting Blood Cells, International Journal of Advanced Research in Engineering and Technology (IJARET), 10 (5), 2019, pp 174-180. http://iaeme.com/Home/issue/IJARET?Volume=10&Issue=5