Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images

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Main Authors: Rafikha Aliana, A. Raof, Zaleha, Salleh, S. I. Sahidan, Mohd Yusoff, Mashor, S. S., Mohd Noor, Fayez, Mohamad Idris, Habsah, Hasan
Other Authors: rafikha@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2009
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7405
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spelling my.unimap-74052010-11-24T02:56:57Z Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images Rafikha Aliana, A. Raof Zaleha, Salleh S. I. Sahidan Mohd Yusoff, Mashor S. S., Mohd Noor Fayez, Mohamad Idris Habsah, Hasan rafikha@unimap.edu.my Color thresholding Image segmentation Sputum slide Tuberculosis Ziehl-neelsen Diseases Medical image processing Microorganisms Image colour analysis Link to publisher's homepage at http://ieeexplore.ieee.org Most of the thresholding procedures involved setting of boundaries based on grey values or intensities of image pixels. In this paper, the thresholding is to be done based on color values in images of Ziehl-Neelsen sputum slides. The color thresholding technique is being carried out based on the adaptation and slight modification of the grey level thresholding algorithm. Multilevel thresholding has been conducted to the RGB color information of the bacterium to extract it from the sputum and other objects. Five types of different images have been used in the study of color information. The results showed that by using the selected threshold values, the image segmentation technique has been able to separate the sputum from the mycobacterium. 2009-12-11T08:12:07Z 2009-12-11T08:12:07Z 2008-11-12 Working Paper p.212-217 978-1-4244-2498-6 http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4723398 http://hdl.handle.net/123456789/7405 en Proceedings of the 5th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2008) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Color thresholding
Image segmentation
Sputum slide
Tuberculosis
Ziehl-neelsen
Diseases
Medical image processing
Microorganisms
Image colour analysis
spellingShingle Color thresholding
Image segmentation
Sputum slide
Tuberculosis
Ziehl-neelsen
Diseases
Medical image processing
Microorganisms
Image colour analysis
Rafikha Aliana, A. Raof
Zaleha, Salleh
S. I. Sahidan
Mohd Yusoff, Mashor
S. S., Mohd Noor
Fayez, Mohamad Idris
Habsah, Hasan
Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images
description Link to publisher's homepage at http://ieeexplore.ieee.org
author2 rafikha@unimap.edu.my
author_facet rafikha@unimap.edu.my
Rafikha Aliana, A. Raof
Zaleha, Salleh
S. I. Sahidan
Mohd Yusoff, Mashor
S. S., Mohd Noor
Fayez, Mohamad Idris
Habsah, Hasan
format Working Paper
author Rafikha Aliana, A. Raof
Zaleha, Salleh
S. I. Sahidan
Mohd Yusoff, Mashor
S. S., Mohd Noor
Fayez, Mohamad Idris
Habsah, Hasan
author_sort Rafikha Aliana, A. Raof
title Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images
title_short Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images
title_full Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images
title_fullStr Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images
title_full_unstemmed Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images
title_sort color thresholding method for image segmentation algorithm of ziehl-neelsen sputum slide images
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7405
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