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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| Format: | Article |
| Language: | en |
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Canadian Centerof Science and Education
2013
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| 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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| author | Al-Sameraai, Raafat Salih Hadi Kamarul Hawari, Ghazali Zeehaida, Mohamed |
| author_facet | Al-Sameraai, Raafat Salih Hadi Kamarul Hawari, Ghazali Zeehaida, Mohamed |
| author_sort | Al-Sameraai, Raafat Salih Hadi |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Article |
| id | my.ump.umpir.3713 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2013 |
| publisher | Canadian Centerof Science and Education |
| record_format | eprints |
| spelling | my.ump.umpir.37132017-09-13T03:07:25Z http://umpir.ump.edu.my/id/eprint/3713/ Automated System for Diagnosis Intestinal Parasites by Computerized Image Analysis Al-Sameraai, Raafat Salih Hadi Kamarul Hawari, Ghazali Zeehaida, Mohamed TK Electrical engineering. Electronics Nuclear engineering 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. Canadian Centerof Science and Education 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3713/1/Automated_system_for_diagnosis_intestinal_parasites_by_computerized_image_analysis-fkee_rafaat.pdf Al-Sameraai, Raafat Salih Hadi and Kamarul Hawari, Ghazali and Zeehaida, Mohamed (2013) Automated System for Diagnosis Intestinal Parasites by Computerized Image Analysis. Modern Applied Science, 7 (5). pp. 98-114. ISSN 1913-1844 (printed), 1913-1852 (online). (Published) http://dx.doi.org/10.5539/mas.v7n5p98 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Al-Sameraai, Raafat Salih Hadi Kamarul Hawari, Ghazali Zeehaida, Mohamed Automated System for Diagnosis Intestinal Parasites by Computerized Image Analysis |
| title | Automated System for Diagnosis Intestinal Parasites by Computerized Image Analysis |
| title_full | Automated System for Diagnosis Intestinal Parasites by Computerized Image Analysis |
| title_fullStr | Automated System for Diagnosis Intestinal Parasites by Computerized Image Analysis |
| title_full_unstemmed | Automated System for Diagnosis Intestinal Parasites by Computerized Image Analysis |
| title_short | Automated System for Diagnosis Intestinal Parasites by Computerized Image Analysis |
| title_sort | automated system for diagnosis intestinal parasites by computerized image analysis |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | 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 |
| url_provider | http://umpir.ump.edu.my/ |