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:
Online Access:http://umpir.ump.edu.my/id/eprint/9428/1/Detection%20Technique%20of%20Squamous%20Epithelial%20Cells%20in%20Sputum%20Slide%20Images%20using%20Image%20Processing%20Analysis.pdf
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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
collection UMP
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.
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spelling UMPir94282018-02-21T04:34:32Z 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.. (Published) http://journal.portalgaruda.org/index.php/EECSI/article/view/395
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
title 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_short 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
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/9428/1/Detection%20Technique%20of%20Squamous%20Epithelial%20Cells%20in%20Sputum%20Slide%20Images%20using%20Image%20Processing%20Analysis.pdf
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AT rosyatihamid detectiontechniqueofsquamousepithelialcellsinsputumslideimagesusingimageprocessinganalysis
AT nooramirasyuhadamahamadsalleh detectiontechniqueofsquamousepithelialcellsinsputumslideimagesusingimageprocessinganalysis