Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures

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. Current...

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Format:	Thesis
Language:	English
Subjects:	Thalassemia Red blood cells (RBC) Image enhancement Blood disease
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77172/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77172/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77172/4/Nurul%20Zafikha.pdf
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id	my-unimap-77172
record_format	uketd_dc
spelling	my-unimap-771722022-11-24T07:31:47Z Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures Yusoff, Mashor, Prof. Dr. 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. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77172 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77172/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77172/1/Page%201-24.pdf aaf7c51e6109c9b3236bc10a76bcc0ee http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77172/2/Full%20text.pdf 008cbe1954c8d520a823eaa745d15b30 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77172/4/Nurul%20Zafikha.pdf c9c0ae9e3913b2f96ce4f722d0dd38b8 Universiti Malaysia Perlis (UniMAP) Thalassemia Red blood cells (RBC) Image enhancement Blood disease School of Mechatronic Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Yusoff, Mashor, Prof. Dr.
topic	Thalassemia Red blood cells (RBC) Image enhancement Blood disease
spellingShingle	Thalassemia Red blood cells (RBC) Image enhancement Blood disease Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures
description	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.
format	Thesis
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
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Mechatronic Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77172/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77172/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77172/4/Nurul%20Zafikha.pdf
_version_	1776104234899472384

Image enhancement and feature extraction techniques for intelligent thalassemia screening procedures

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