Universiti Teknologi Malaysia Institutional Repository

Red blood cells estimation using Hough transform technique

Mahmood, Nasrul Humaimi and Mansor, Muhammad Asraf (2012) Red blood cells estimation using Hough transform technique. Signal & Image Processing:An International Journal (SIPIJ), 3 (2). pp. 53-64. ISSN 0976-710X

Full text not available from this repository.

Official URL: http://www.aircconline.com/sipij/V3N2/3212sipij04....


The number of red blood cells contributes more to clinical diagnosis with respect to blood diseases. The aim of this research is to produce a computer vision system that can detect and estimate the number of red blood cells in the blood sample image. Morphological is a very powerful tool in image processing, and it is been used to segment and extract the red blood cells from the background and other cells. The algorithm used features such as shape of red blood cells for counting process, and Hough transform is introduced in this process. The result presented here is based on images with normal blood cells. The tested data consists of 10 samples and produced the accurate estimation rate closest to 96% from manual counting.

Item Type:Article
Uncontrolled Keywords:Hough Transform, Morphological Image Processing
Subjects:Q Science > QH Natural history > QH301 Biology
Divisions:Biosciences and Medical Engineering
ID Code:31133
Deposited By: Fazli Masari
Deposited On:30 Apr 2014 00:53
Last Modified:31 Oct 2018 12:33

Repository Staff Only: item control page