Staff View: Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images

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:	Rosyati, Hamid, Norazura, Abd. Halim, Nurul Wahidah, Arshad, Faradila, Naim, Mohd Falfazli, Mat Jusof, Zeehaida, Mohamed
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
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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id	my.ump.umpir.6332
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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.. http://dx.doi.org/10.1109/SIECPC.2013.6550980
institution	Universiti Malaysia Pahang
building	UMP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang
content_source	UMP Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
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
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
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
title	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_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_sort	feature extraction of pus cells detection and counting in sputum slide images
publishDate	2013
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
_version_	1643665354721853440
score	13.211869

Feature Extraction of Pus Cells Detection and Counting in Sputum Slide Images

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