Department of Electronic Engineering, Faculty of Electrical and Electronics Engineering, Universiti Tun Hussein Onn Malaysia, Pt. Raja, Malaysia

Computational Automated System for Red Blood Cell Detection and Segmentation

Published in Intelligent Data Analysis for Biomedical Applications

The implementation of digital image processing system of blood cell images has the potential to decrease the cost of making clinical decisions, while at the same time giving a more reliable result for red blood cells (RBCs) counting. In this chapter discuss the development of a novel system for the automatic detection and segmentation of RBCs in mi...