Automated System for Diagnosis Intestinal Parasites by Computerized Image Analysis
In this study, human fecal parasite detection technique based on Filtration and Steady Determinations Thresholds System (F-SDTS) was proposed. The recognition method includes three stages. First stage, a preprocessing subsystem is realized for obtaining unique features after performing noise red...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Canadian Centerof Science and Education
2013
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/3713/1/Automated_system_for_diagnosis_intestinal_parasites_by_computerized_image_analysis-fkee_rafaat.pdf http://umpir.ump.edu.my/id/eprint/3713/ http://dx.doi.org/10.5539/mas.v7n5p98 |
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| Summary: | In this study, human fecal parasite detection technique based on Filtration and Steady Determinations Thresholds
System (F-SDTS) was proposed. The recognition method includes three stages. First stage, a preprocessing
subsystem is realized for obtaining unique features after performing noise reduction, contrast enhancement,
segmentation and other morphological process are applied for feature extraction stage of F-SDTSapproach.
Second stage, a feature extraction mechanism which is based on five featuresof the three characteristics (shape,
shell smoothness, and size) is used. Third stage, Filtration with Steady Determinations Thresholds System
(F-SDTS) classifier is used for recognition process using the ranges of feature values as a database to identify
and classify the type of parasite. The technique enables to classify two different parasite eggs from their
microscopic images which are roundworms (Ascaris lumbricoides ova, ALO) and whipworms (Trichuris
trichiura ova, TTO). Finally, simulation result shows overall success rates are almost 93% and 94% in Ascaris
lumbricoides and Trichuris trichiura, respectively. |
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