Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Main Authors: Muhammad Khusairi, Osman, Yusoff, Mashor, Hasnan, Jaafar
Other Authors: khusairi@ppinang.uitm.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7279
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spelling my.unimap-72792010-01-15T09:00:07Z Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection Muhammad Khusairi, Osman Yusoff, Mashor Hasnan, Jaafar khusairi@ppinang.uitm.edu.my Colour image enhancement TB bacilli detection Tissue section Bright stretching Dark stretching Tuberculosis Image quality Image processing Optical images Imaging systems -- Image quality Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. Tuberculosis is a serious disease caused by infection with the germ Mycobacterium tuberculosis. Sputum sample analysis is a common method for TB bacilli detection. In some cases, tissue from the suspected system is also obtained using bronchoscope or fine needle aspiration for diagnosis. The Ziehl- Neelsen stain or acid-fast stain is a special stain used to identify the TB bacilli. The preparation of Ziehl-Neelsen slides require several procedures and the slide should be analysed under microscope. There are some factors that may degrade the image quality such as exposure and staining problems. Therefore, image enhancements are necessary to produce fine images in term of contrast and intensity. This paper proposes two methods for colour image enhancement; bright stretching and dark stretching algorithms. Both methods are well known to produce good image enhancement for gray scale images. However, the current study has adapted these methods to be used for colour images. Although the adapted image processing technique is quite simple, the results indicate that these methods may have some potential to be used for improving the quality of Ziehl-Neelsen slide images. The results show that both techniques were successfully improved the image contrast and enhance the image quality. 2009-11-13T02:07:54Z 2009-11-13T02:07:54Z 2009-10-11 Working Paper p.2A5 1 - 2A5 6 http://hdl.handle.net/123456789/7279 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
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 Colour image enhancement
TB bacilli detection
Tissue section
Bright stretching
Dark stretching
Tuberculosis
Image quality
Image processing
Optical images
Imaging systems -- Image quality
spellingShingle Colour image enhancement
TB bacilli detection
Tissue section
Bright stretching
Dark stretching
Tuberculosis
Image quality
Image processing
Optical images
Imaging systems -- Image quality
Muhammad Khusairi, Osman
Yusoff, Mashor
Hasnan, Jaafar
Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection
description Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2 khusairi@ppinang.uitm.edu.my
author_facet khusairi@ppinang.uitm.edu.my
Muhammad Khusairi, Osman
Yusoff, Mashor
Hasnan, Jaafar
format Working Paper
author Muhammad Khusairi, Osman
Yusoff, Mashor
Hasnan, Jaafar
author_sort Muhammad Khusairi, Osman
title Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection
title_short Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection
title_full Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection
title_fullStr Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection
title_full_unstemmed Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection
title_sort colour image enhancement using bright and dark stretching techniques for tissue based tuberculosis bacilli detection
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7279
_version_ 1643788747200790528
score 13.214268