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Automatic Cryptosporidium And Giardia Viability Detection in Treated Water

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

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Parasite calculation; Parasite differentiation; Nucleus calculation; Automatic viability confirmation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 22 Apr 2016 04:02
Last Modified: 08 Feb 2018 02:56
URI: http://umpir.ump.edu.my/id/eprint/6569
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