Automatic detection of human parasite worm using microscopic image

This project investigates about the development of automatic detection of egg of human parasites using microscopic images. The MATLAB software is the tool to analyse the image processing technique applied in this research. The stages of image processing technique are image acquisition, processing, c...

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Bibliographic Details
Main Author:	Rushdina, Roslan
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/4926/ http://umpir.ump.edu.my/id/eprint/4926/ http://umpir.ump.edu.my/id/eprint/4926/1/cd6708_81.pdf

id	ump-4926
recordtype	eprints
spelling	ump-49262015-03-03T09:22:01Z http://umpir.ump.edu.my/id/eprint/4926/ Automatic detection of human parasite worm using microscopic image Rushdina, Roslan TK Electrical engineering. Electronics Nuclear engineering This project investigates about the development of automatic detection of egg of human parasites using microscopic images. The MATLAB software is the tool to analyse the image processing technique applied in this research. The stages of image processing technique are image acquisition, processing, classification and testing. The input image is a microscopic image with three different resolutions. The experiment parasites are found in faecal samples provided by doctor at HUSM. This project had been categorized the two types of parasites worm which is Roundworm, Ascaris Lumbricoides and Whipworm, Trichuris Trichiura. The identification of the parasites is based on its eggs roundness, shape and smoothness characteristics. The MATLAB software recognized the types of parasite based on classification that had been done before. The image processing used are edge detection, filling, morphological operation and others. The image of egg parasite will be expected to appear without other subjects inside result image. This project will give benefit to biomedical industry and human health as it acts as a specialist to acknowledge a patient’s condition by the existence of types of parasite living in one’s body. 2012-05 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4926/1/cd6708_81.pdf Rushdina, Roslan (2012) Automatic detection of human parasite worm using microscopic image. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:74614&theme=UMP2
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 Rushdina, Roslan Automatic detection of human parasite worm using microscopic image
description	This project investigates about the development of automatic detection of egg of human parasites using microscopic images. The MATLAB software is the tool to analyse the image processing technique applied in this research. The stages of image processing technique are image acquisition, processing, classification and testing. The input image is a microscopic image with three different resolutions. The experiment parasites are found in faecal samples provided by doctor at HUSM. This project had been categorized the two types of parasites worm which is Roundworm, Ascaris Lumbricoides and Whipworm, Trichuris Trichiura. The identification of the parasites is based on its eggs roundness, shape and smoothness characteristics. The MATLAB software recognized the types of parasite based on classification that had been done before. The image processing used are edge detection, filling, morphological operation and others. The image of egg parasite will be expected to appear without other subjects inside result image. This project will give benefit to biomedical industry and human health as it acts as a specialist to acknowledge a patient’s condition by the existence of types of parasite living in one’s body.
format	Undergraduates Project Papers
author	Rushdina, Roslan
author_facet	Rushdina, Roslan
author_sort	Rushdina, Roslan
title	Automatic detection of human parasite worm using microscopic image
title_short	Automatic detection of human parasite worm using microscopic image
title_full	Automatic detection of human parasite worm using microscopic image
title_fullStr	Automatic detection of human parasite worm using microscopic image
title_full_unstemmed	Automatic detection of human parasite worm using microscopic image
title_sort	automatic detection of human parasite worm using microscopic image
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/4926/ http://umpir.ump.edu.my/id/eprint/4926/ http://umpir.ump.edu.my/id/eprint/4926/1/cd6708_81.pdf
first_indexed	2023-09-18T21:59:57Z
last_indexed	2023-09-18T21:59:57Z
_version_	1777414331395211264

Automatic detection of human parasite worm using microscopic image

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