Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images
This paper discusses on a feature extraction of pus cell in sputum slide image. This invention is developed to analyze and count the content of cells specifically pus cell within a biological sample, and more particularly sputum sample which is useful for sputum quality grading. This pus c...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6332/1/Feature_Extraction_of_Pus_Cells_Detection_and_Counting_in_Sputum_Slide_Images.pdf http://umpir.ump.edu.my/id/eprint/6332/ http://dx.doi.org/10.1109/SIECPC.2013.6550980 |
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| author | Rosyati, Hamid Norazura, Abd. Halim Nurul Wahidah, Arshad Faradila, Naim Mohd Falfazli, Mat Jusof Zeehaida, Mohamed |
| author_facet | Rosyati, Hamid Norazura, Abd. Halim Nurul Wahidah, Arshad Faradila, Naim Mohd Falfazli, Mat Jusof Zeehaida, Mohamed |
| author_sort | Rosyati, Hamid |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper discusses on a feature extraction of
pus cell in sputum slide image. This invention is
developed to analyze and count the content of cells
specifically pus cell within a biological sample, and
more particularly sputum sample which is useful for
sputum quality grading. This pus cell detection is
addressed by mean intensity and area for single and
overlapping pus cells. It is found that mean intensity
and area for single pus cell are ranges from 130 - 163
and 35 - 81 respectively. Whereas, with considering
other elements exist in sputum image such as epithelial
cells and artifacts, the mean intensity for overlapping
pus cells are ranges from 130 – 45 with area of 65 –
300. This system reliability is above 80% from the
validation results. |
| format | Conference or Workshop Item |
| id | my.ump.umpir.6332 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2013 |
| record_format | eprints |
| spelling | my.ump.umpir.63322018-05-02T03:11:41Z http://umpir.ump.edu.my/id/eprint/6332/ Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images Rosyati, Hamid Norazura, Abd. Halim Nurul Wahidah, Arshad Faradila, Naim Mohd Falfazli, Mat Jusof Zeehaida, Mohamed TK Electrical engineering. Electronics Nuclear engineering This paper discusses on a feature extraction of pus cell in sputum slide image. This invention is developed to analyze and count the content of cells specifically pus cell within a biological sample, and more particularly sputum sample which is useful for sputum quality grading. This pus cell detection is addressed by mean intensity and area for single and overlapping pus cells. It is found that mean intensity and area for single pus cell are ranges from 130 - 163 and 35 - 81 respectively. Whereas, with considering other elements exist in sputum image such as epithelial cells and artifacts, the mean intensity for overlapping pus cells are ranges from 130 – 45 with area of 65 – 300. This system reliability is above 80% from the validation results. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6332/1/Feature_Extraction_of_Pus_Cells_Detection_and_Counting_in_Sputum_Slide_Images.pdf Rosyati, Hamid and Norazura, Abd. Halim and Nurul Wahidah, Arshad and Faradila, Naim and Mohd Falfazli, Mat Jusof and Zeehaida, Mohamed (2013) Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images. In: Electronics, Communications and Photonics Conference (SIECPC), 2013 Saudi International , 27-30 April 2013 , Riyadh. pp. 1-6.. (Published) http://dx.doi.org/10.1109/SIECPC.2013.6550980 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Rosyati, Hamid Norazura, Abd. Halim Nurul Wahidah, Arshad Faradila, Naim Mohd Falfazli, Mat Jusof Zeehaida, Mohamed Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images |
| title | Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images |
| title_full | Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images |
| title_fullStr | Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images |
| title_full_unstemmed | Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images |
| title_short | Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images |
| title_sort | feature extraction of pus cells detection and counting in sputum slide images |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/6332/1/Feature_Extraction_of_Pus_Cells_Detection_and_Counting_in_Sputum_Slide_Images.pdf http://umpir.ump.edu.my/id/eprint/6332/ http://dx.doi.org/10.1109/SIECPC.2013.6550980 |
| url_provider | http://umpir.ump.edu.my/ |