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Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures

Master of Science in Biomedical Electronics Engineering

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Bibliographic Details
Main Author: Nurul Zhafikha, Noor Rashid
Other Authors: Yusoff, Mashor, Prof. Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Thalassemia
Red blood cells (RBC)
Image enhancement
Blood disease
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77172
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spelling my.unimap-771722022-11-24T07:31:47Z Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures Nurul Zhafikha, Noor Rashid Yusoff, Mashor, Prof. Dr. Thalassemia Red blood cells (RBC) Image enhancement Blood disease Master of Science in Biomedical Electronics Engineering Thalassemia is an inherited blood disease that effects the production of red blood cells (RBC) in the body. The deficiency of RBC that constitutes 99% of blood cells will affect their main function as oxygen carrier. The morphological features of RBC play a crucial role in medical diagnosis. Currently, the microscopic investigation to identify the present of any thalassemia cells is performed manually by haematologists through visual identification under a light microscope. However, the manual procedure yields inaccurate results, labour-intensive and time-consuming since it is highly dependent on the haematologists experience and skill. Thus, the main objective of this research is to develop an intelligent thalassemia screening procedure based on blood samples. Essentially an efficient method using the image processing techniques including image enhancement, segmentation and feature extraction have been constructed in order to obtain a fully segmented RBC. There are five contrast enhancement techniques have been applied to the original RGB image, separately and two techniques were selected to be used in the proposed procedure that are Dark Contrast and Partial Contrast techniques. Then, the segmentation of blood cells proceed with the conversion of HSI color space before the image being processed using moving k-mean clustering and median filter techniques. Good segmentation performance for blood cell has been obtained from the combination of dark contrast technique and intensity component. Then, fully segmented RBC image was obtained after the unwanted components such as overlapping RBC, WBC and platelet were successfully removed using seed region growing technique. Next, three main features were extracted from the individual RBC that are simple shape, color and complex shape based features. 2016 2022-11-24T07:30:06Z 2022-11-24T07:30:06Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77172 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Thalassemia
Red blood cells (RBC)
Image enhancement
Blood disease
spellingShingle Thalassemia
Red blood cells (RBC)
Image enhancement
Blood disease
Nurul Zhafikha, Noor Rashid
Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures
description Master of Science in Biomedical Electronics Engineering
author2 Yusoff, Mashor, Prof. Dr.
author_facet Yusoff, Mashor, Prof. Dr.
Nurul Zhafikha, Noor Rashid
format Thesis
author Nurul Zhafikha, Noor Rashid
author_sort Nurul Zhafikha, Noor Rashid
title Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures
title_short Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures
title_full Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures
title_fullStr Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures
title_full_unstemmed Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures
title_sort image enhancement and feature extraction techniques for intelligent thalassemia screening procedures
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77172
_version_ 1753972991243321344
score 13.214268

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