Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis

A good quality sputum is important to detect diseases. The presence of squamous epithelial cells (SEC) in sputum slide images is important to determine the quality of sputum. The presence of overlapping SEC in sputum slide images causes the process become complicated and tedious. Therefore this pape...

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Main Authors:	Fatin Izzwani, Azman, Kamarul Hawari, Ghazali, Rosyati, Hamid, Noor Amira Syuhada , Mahamad Salleh
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/9428/ http://umpir.ump.edu.my/id/eprint/9428/ http://umpir.ump.edu.my/id/eprint/9428/1/Detection%20Technique%20of%20Squamous%20Epithelial%20Cells%20in%20Sputum%20Slide%20Images%20using%20Image%20Processing%20Analysis.pdf

id	ump-9428
recordtype	eprints
spelling	ump-94282018-02-21T04:34:32Z http://umpir.ump.edu.my/id/eprint/9428/ Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis Fatin Izzwani, Azman Kamarul Hawari, Ghazali Rosyati, Hamid Noor Amira Syuhada , Mahamad Salleh TK Electrical engineering. Electronics Nuclear engineering A good quality sputum is important to detect diseases. The presence of squamous epithelial cells (SEC) in sputum slide images is important to determine the quality of sputum. The presence of overlapping SEC in sputum slide images causes the process become complicated and tedious. Therefore this paper discusses on technique of detection and summation for Squamous Epithelial Cell (SEC) in sputum slide image. We addressed the detection problem by combining K-means and color thresholding algorithm. The design of aided system is evaluated using 200 images and the proposed technique is capable to detect and count each SEC from overlapping SEC image. Total of 200 images were clustered to 10 groups, labelled as Group Cell 1 to group Cell 10 that correspond to the number of cells in the image. Therefore, each group will contain 20 images. The accuracy of the algorithm to detect SEC was also measured, and results show that in 91% which provides a correct SEC detection and summation. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9428/1/Detection%20Technique%20of%20Squamous%20Epithelial%20Cells%20in%20Sputum%20Slide%20Images%20using%20Image%20Processing%20Analysis.pdf Fatin Izzwani, Azman and Kamarul Hawari, Ghazali and Rosyati, Hamid and Noor Amira Syuhada , Mahamad Salleh (2014) Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis. In: Proceeding of International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2014), 20-21 August 2014 , Yogyakarta, Indonesia. pp. 400-404.. http://journal.portalgaruda.org/index.php/EECSI/article/view/395
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Fatin Izzwani, Azman Kamarul Hawari, Ghazali Rosyati, Hamid Noor Amira Syuhada , Mahamad Salleh Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis
description	A good quality sputum is important to detect diseases. The presence of squamous epithelial cells (SEC) in sputum slide images is important to determine the quality of sputum. The presence of overlapping SEC in sputum slide images causes the process become complicated and tedious. Therefore this paper discusses on technique of detection and summation for Squamous Epithelial Cell (SEC) in sputum slide image. We addressed the detection problem by combining K-means and color thresholding algorithm. The design of aided system is evaluated using 200 images and the proposed technique is capable to detect and count each SEC from overlapping SEC image. Total of 200 images were clustered to 10 groups, labelled as Group Cell 1 to group Cell 10 that correspond to the number of cells in the image. Therefore, each group will contain 20 images. The accuracy of the algorithm to detect SEC was also measured, and results show that in 91% which provides a correct SEC detection and summation.
format	Conference or Workshop Item
author	Fatin Izzwani, Azman Kamarul Hawari, Ghazali Rosyati, Hamid Noor Amira Syuhada , Mahamad Salleh
author_facet	Fatin Izzwani, Azman Kamarul Hawari, Ghazali Rosyati, Hamid Noor Amira Syuhada , Mahamad Salleh
author_sort	Fatin Izzwani, Azman
title	Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis
title_short	Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis
title_full	Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis
title_fullStr	Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis
title_full_unstemmed	Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis
title_sort	detection technique of squamous epithelial cells in sputum slide images using image processing analysis
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/9428/ http://umpir.ump.edu.my/id/eprint/9428/ http://umpir.ump.edu.my/id/eprint/9428/1/Detection%20Technique%20of%20Squamous%20Epithelial%20Cells%20in%20Sputum%20Slide%20Images%20using%20Image%20Processing%20Analysis.pdf
first_indexed	2023-09-18T22:07:59Z
last_indexed	2023-09-18T22:07:59Z
_version_	1777414837289091072

Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis

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