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:
Online Access:http://umpir.ump.edu.my/id/eprint/6332/1/Feature_Extraction_of_Pus_Cells_Detection_and_Counting_in_Sputum_Slide_Images.pdf
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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
collection UMP
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.
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spelling UMPir63322018-05-02T03:11:41Z 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
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