Automatic Cryptosporidium And Giardia Viability Detection in Treated Water

In the automatic detection of Cryptosporidium and Giardia (oo)cysts in water samples, low contrast and noise in the microscopic images can adversely affect the accuracy of the segmentation results. An improved partial differential equation (PDE) filtering that achieves a better trade-off between noi...

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Main Authors:	Shahriar, Badsha, Norrima, Mokhtar, Hamzah, Arof, Ai Lian Lim, Yvonne, Marizan, Mubin, Zuwairie, Ibrahim
Format:	Article
Language:	English
Published:	SpringerOpen 2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/6569/ http://umpir.ump.edu.my/id/eprint/6569/ http://umpir.ump.edu.my/id/eprint/6569/ http://umpir.ump.edu.my/id/eprint/6569/1/Automatic_Cryptosporidium_And_Giardia_Viability_Detection_In_Treated_Water.pdf

id	ump-6569
recordtype	eprints
spelling	ump-65692018-02-08T02:56:33Z http://umpir.ump.edu.my/id/eprint/6569/ Automatic Cryptosporidium And Giardia Viability Detection in Treated Water Shahriar, Badsha Norrima, Mokhtar Hamzah, Arof Ai Lian Lim, Yvonne Marizan, Mubin Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering In the automatic detection of Cryptosporidium and Giardia (oo)cysts in water samples, low contrast and noise in the microscopic images can adversely affect the accuracy of the segmentation results. An improved partial differential equation (PDE) filtering that achieves a better trade-off between noise removal and edge preservation is introduced where the compass operator is utilized to attenuate noise while retaining edge information at the cytoplasm wall and around the nuclei of the (oo)cysts. Then the anatomically important information is separated from the unwanted background noise using the Otsu method to improve the detection accuracy. Once the (oo)cysts are located, a simple technique to classify the two types of protozoans using area, roundness metric and eccentricity is implemented. Finally, the number of nuclei in the cytoplasm of each (oo)cyst is counted to check the viability of individual parasite. The proposed system is tested on 40 microscopic images obtained from treated water samples, and it gives excellent detection and viability rates of 97% and 98%, respectively. SpringerOpen 2013 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/6569/1/Automatic_Cryptosporidium_And_Giardia_Viability_Detection_In_Treated_Water.pdf Shahriar, Badsha and Norrima, Mokhtar and Hamzah, Arof and Ai Lian Lim, Yvonne and Marizan, Mubin and Zuwairie, Ibrahim (2013) Automatic Cryptosporidium And Giardia Viability Detection in Treated Water. EURASIP Journal on Image and Video Processing, 56. pp. 1-10. ISSN 1687-5281 http://dx.doi.org/10.1186/1687-5281-2013-56 DOI: 10.1186/1687-5281-2013-56
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 Shahriar, Badsha Norrima, Mokhtar Hamzah, Arof Ai Lian Lim, Yvonne Marizan, Mubin Zuwairie, Ibrahim Automatic Cryptosporidium And Giardia Viability Detection in Treated Water
description	In the automatic detection of Cryptosporidium and Giardia (oo)cysts in water samples, low contrast and noise in the microscopic images can adversely affect the accuracy of the segmentation results. An improved partial differential equation (PDE) filtering that achieves a better trade-off between noise removal and edge preservation is introduced where the compass operator is utilized to attenuate noise while retaining edge information at the cytoplasm wall and around the nuclei of the (oo)cysts. Then the anatomically important information is separated from the unwanted background noise using the Otsu method to improve the detection accuracy. Once the (oo)cysts are located, a simple technique to classify the two types of protozoans using area, roundness metric and eccentricity is implemented. Finally, the number of nuclei in the cytoplasm of each (oo)cyst is counted to check the viability of individual parasite. The proposed system is tested on 40 microscopic images obtained from treated water samples, and it gives excellent detection and viability rates of 97% and 98%, respectively.
format	Article
author	Shahriar, Badsha Norrima, Mokhtar Hamzah, Arof Ai Lian Lim, Yvonne Marizan, Mubin Zuwairie, Ibrahim
author_facet	Shahriar, Badsha Norrima, Mokhtar Hamzah, Arof Ai Lian Lim, Yvonne Marizan, Mubin Zuwairie, Ibrahim
author_sort	Shahriar, Badsha
title	Automatic Cryptosporidium And Giardia Viability Detection in Treated Water
title_short	Automatic Cryptosporidium And Giardia Viability Detection in Treated Water
title_full	Automatic Cryptosporidium And Giardia Viability Detection in Treated Water
title_fullStr	Automatic Cryptosporidium And Giardia Viability Detection in Treated Water
title_full_unstemmed	Automatic Cryptosporidium And Giardia Viability Detection in Treated Water
title_sort	automatic cryptosporidium and giardia viability detection in treated water
publisher	SpringerOpen
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6569/ http://umpir.ump.edu.my/id/eprint/6569/ http://umpir.ump.edu.my/id/eprint/6569/ http://umpir.ump.edu.my/id/eprint/6569/1/Automatic_Cryptosporidium_And_Giardia_Viability_Detection_In_Treated_Water.pdf
first_indexed	2023-09-18T22:02:27Z
last_indexed	2023-09-18T22:02:27Z
_version_	1777414489083215872

Automatic Cryptosporidium And Giardia Viability Detection in Treated Water

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