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.

Saved in:

Bibliographic Details
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
Subjects:	Colour image enhancement TB bacilli detection Tissue section Bright stretching Dark stretching Tuberculosis Image quality Image processing Optical images Imaging systems > Image quality
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/7279
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-7279
record_format	dspace
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

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

Similar Items