Microscopy Image Processing Analaysis for Automatic Detection of Human Intestinal Parasites ALO and TTO

Parasite is an organism that lives on or in other organisms from which it obtains its' nutrients but causes harm in the process. Infection of human intestine by parasites can be due the food that we eat or the water that we drink. The most common symptoms of worm infestation include diarrhoea,...

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Main Authors:	Kamarul Hawari, Ghazali, Hadi, R. S., Zeehaida, Mohamed
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/6535/ http://umpir.ump.edu.my/id/eprint/6535/ http://umpir.ump.edu.my/id/eprint/6535/1/Microscopy_image_processing_analaysis_for_automatic_detection_of_human_intestinal_parasites_ALO_and_TTO.pdf

id	ump-6535
recordtype	eprints
spelling	ump-65352018-02-21T04:57:14Z http://umpir.ump.edu.my/id/eprint/6535/ Microscopy Image Processing Analaysis for Automatic Detection of Human Intestinal Parasites ALO and TTO Kamarul Hawari, Ghazali Hadi, R. S. Zeehaida, Mohamed TK Electrical engineering. Electronics Nuclear engineering Parasite is an organism that lives on or in other organisms from which it obtains its' nutrients but causes harm in the process. Infection of human intestine by parasites can be due the food that we eat or the water that we drink. The most common symptoms of worm infestation include diarrhoea, stomach bloating, and digestive disorders, while other symptoms include anaemia, asthma, constipation, fatigue, low immune system, nervousness, skin rash. In a hospital, the conventional practice of diagnosing parasites infection in the human body is by manual faecal examination. Trained experts examine the faecal specimens, search for parasitic organisms, and the eggs of helminths and cysts of protozoa. If the harmful organisms are present, the sizes, shapes, numbers and sometimes colour of the organisms are examined in order to identify the species of parasites, the degree of infection and appropriate therapeutic modalities. This method of examination is inefficient when a large number of samples are involved in the examination since it poses a heavy workload, and the diagnoses rely exclusively on the experiences of the doctors and laboratory technologists. In this paper, an automatic system to diagnose human intestinal parasites using image processing technique has been proposed. A new methodology that involves the major part of image analysis such as filtering, segmentation, feature extraction and classification will be used to detect and classify intestinal parasite. A set of data has been acquired from Hospital University Sains Malaysia and has been used to test the system. Based on the result, more than 95% of accuracy was obtained for the classification of both parasites ALO and TTO. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6535/1/Microscopy_image_processing_analaysis_for_automatic_detection_of_human_intestinal_parasites_ALO_and_TTO.pdf Kamarul Hawari, Ghazali and Hadi, R. S. and Zeehaida, Mohamed (2013) Microscopy Image Processing Analaysis for Automatic Detection of Human Intestinal Parasites ALO and TTO. In: Electronics, Computer and Computation (ICECCO), 7-9 November 2013 , Ankara. pp. 40-43.. http://dx.doi.org/10.1109/ICECCO.2013.6718223
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Kamarul Hawari, Ghazali Hadi, R. S. Zeehaida, Mohamed Microscopy Image Processing Analaysis for Automatic Detection of Human Intestinal Parasites ALO and TTO
description	Parasite is an organism that lives on or in other organisms from which it obtains its' nutrients but causes harm in the process. Infection of human intestine by parasites can be due the food that we eat or the water that we drink. The most common symptoms of worm infestation include diarrhoea, stomach bloating, and digestive disorders, while other symptoms include anaemia, asthma, constipation, fatigue, low immune system, nervousness, skin rash. In a hospital, the conventional practice of diagnosing parasites infection in the human body is by manual faecal examination. Trained experts examine the faecal specimens, search for parasitic organisms, and the eggs of helminths and cysts of protozoa. If the harmful organisms are present, the sizes, shapes, numbers and sometimes colour of the organisms are examined in order to identify the species of parasites, the degree of infection and appropriate therapeutic modalities. This method of examination is inefficient when a large number of samples are involved in the examination since it poses a heavy workload, and the diagnoses rely exclusively on the experiences of the doctors and laboratory technologists. In this paper, an automatic system to diagnose human intestinal parasites using image processing technique has been proposed. A new methodology that involves the major part of image analysis such as filtering, segmentation, feature extraction and classification will be used to detect and classify intestinal parasite. A set of data has been acquired from Hospital University Sains Malaysia and has been used to test the system. Based on the result, more than 95% of accuracy was obtained for the classification of both parasites ALO and TTO.
format	Conference or Workshop Item
author	Kamarul Hawari, Ghazali Hadi, R. S. Zeehaida, Mohamed
author_facet	Kamarul Hawari, Ghazali Hadi, R. S. Zeehaida, Mohamed
author_sort	Kamarul Hawari, Ghazali
title	Microscopy Image Processing Analaysis for Automatic Detection of Human Intestinal Parasites ALO and TTO
title_short	Microscopy Image Processing Analaysis for Automatic Detection of Human Intestinal Parasites ALO and TTO
title_full	Microscopy Image Processing Analaysis for Automatic Detection of Human Intestinal Parasites ALO and TTO
title_fullStr	Microscopy Image Processing Analaysis for Automatic Detection of Human Intestinal Parasites ALO and TTO
title_full_unstemmed	Microscopy Image Processing Analaysis for Automatic Detection of Human Intestinal Parasites ALO and TTO
title_sort	microscopy image processing analaysis for automatic detection of human intestinal parasites alo and tto
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6535/ http://umpir.ump.edu.my/id/eprint/6535/ http://umpir.ump.edu.my/id/eprint/6535/1/Microscopy_image_processing_analaysis_for_automatic_detection_of_human_intestinal_parasites_ALO_and_TTO.pdf
first_indexed	2023-09-18T22:02:23Z
last_indexed	2023-09-18T22:02:23Z
_version_	1777414484057391104

Microscopy Image Processing Analaysis for Automatic Detection of Human Intestinal Parasites ALO and TTO

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