Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images

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Main Authors: Zaleha, Salleh, Mohd Yusoff, Mashor, Mat Noor, N. R., Shazmin Aniza, Abdul Shukor, Norasmadi, Abdul Rahim, Wahab, A. S W, Md Noor, S. S., Mohamad Idris, F., Hasan, H.
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Language:English
Published: Institute of Electrical and Electronics Engineering (IEEE) 2009
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6859
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spelling my.unimap-68592009-08-12T09:21:14Z Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images Zaleha, Salleh Mohd Yusoff, Mashor Mat Noor, N. R. Shazmin Aniza, Abdul Shukor Norasmadi, Abdul Rahim Wahab, A. S W Md Noor, S. S. Mohamad Idris, F. Hasan, H. Biology computing Microorganisms Image enhancement Image colour analysis Microbiology Bacteriology Link to publisher's homepage at http://ieeexplore.ieee.org The Ziehl-Neelsen stain, also known as the acid-fast stain, was first described by two German doctors; Franz Ziehl (1859 to 1926), a bacteriologist and Friedrich Neelsen (1854 to 1894), a pathologist [1].It is a special bacteriological stain used to identify acid-fast Mycobacteria. The preparation of Ziehl-Neelsen slides require several procedures and the slide should be examined under oil immersion by using the 100X magnification. There are some factors that may degrade the image quality such as under expose, over expose, under stain and thick samples. Thus, the images should be enhanced to improve the image quality in term of contrast and intensity. This paper proposes a contrast enhancement technique based on bright stretching and dark stretching algorithms for color images. Although the adopted image processing technique is quite simple, the results indicate that our method may have some potential to be used for improving the quality of Ziehl-Neelsen slide images. 2009-08-12T09:20:34Z 2009-08-12T09:20:34Z 2007-11 Article vol.2, p.205-208 978-0-7695-2994-1 http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4457687 http://hdl.handle.net/123456789/6859 en Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 07) Institute of Electrical and Electronics Engineering (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 Biology computing
Microorganisms
Image enhancement
Image colour analysis
Microbiology
Bacteriology
spellingShingle Biology computing
Microorganisms
Image enhancement
Image colour analysis
Microbiology
Bacteriology
Zaleha, Salleh
Mohd Yusoff, Mashor
Mat Noor, N. R.
Shazmin Aniza, Abdul Shukor
Norasmadi, Abdul Rahim
Wahab, A. S W
Md Noor, S. S.
Mohamad Idris, F.
Hasan, H.
Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images
description Link to publisher's homepage at http://ieeexplore.ieee.org
format Article
author Zaleha, Salleh
Mohd Yusoff, Mashor
Mat Noor, N. R.
Shazmin Aniza, Abdul Shukor
Norasmadi, Abdul Rahim
Wahab, A. S W
Md Noor, S. S.
Mohamad Idris, F.
Hasan, H.
author_facet Zaleha, Salleh
Mohd Yusoff, Mashor
Mat Noor, N. R.
Shazmin Aniza, Abdul Shukor
Norasmadi, Abdul Rahim
Wahab, A. S W
Md Noor, S. S.
Mohamad Idris, F.
Hasan, H.
author_sort Zaleha, Salleh
title Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images
title_short Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images
title_full Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images
title_fullStr Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images
title_full_unstemmed Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images
title_sort colour contrast enhancement based on bright and dark stretching for ziehl-neelsen slide images
publisher Institute of Electrical and Electronics Engineering (IEEE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6859
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score 13.159267