Universiti Teknologi Malaysia Institutional Repository

Normal and abnormal red blood cell recognition using image processing

Aliyu, H. A. and Razak, M. A. A. and Sudirman, R. (2019) Normal and abnormal red blood cell recognition using image processing. Indonesian Journal of Electrical Engineering and Computer Science, 14 (1). pp. 100-104. ISSN 2502-4752

Full text not available from this repository.

Official URL: http://www.dx.doi.org/10.11591/ijeecs.v14.i1.pp100...


In medical field, the recognition of red blood cells (RBC) is used as an indicator to detect the type of diseases such as anaemia, malaria and leukaemia etc. The problems using manual detection of normal and abnormal RBCs under the microscope is tend to give inaccurate result and errors. This paper proposed a method to recognize the normal and abnormal shaped RBCs image by using Form Factor, Perimeter and Area as feature descriptors. Detecting normal cells of RBCs indicate a healthy patient and abnormal cells indicate presence of disease. And is very important in medical field to detect abnormal condition in early stage because it saves and protects human lives. The patients waiting time for blood test is more because the time taking to generate the result of the patient is high due to high demand and less equipment this method is used in order to improve the accuracy of the existing one and 94% accuracy was achieved in the detection.

Item Type:Article
Uncontrolled Keywords:form factor, image processing, red blood cells (RBCs)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:88920
Deposited By: Narimah Nawil
Deposited On:29 Dec 2020 12:42
Last Modified:29 Dec 2020 12:42

Repository Staff Only: item control page