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Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network

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Main Authors: M. K., Osman, Mohd Yusoff, Mashor, Prof. Madya Dr., Jaafar, H.
Other Authors: khusairi@ppinang.uitm.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2011
Subjects:
Biomedical image processing
Image segmentation
Neural network applications
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/11107
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spelling my.unimap-111072011-03-09T03:57:14Z Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network M. K., Osman Mohd Yusoff, Mashor, Prof. Madya Dr. Jaafar, H. khusairi@ppinang.uitm.edu.my Biomedical image processing Image segmentation Neural network applications Link to publisher's homepage at http://ieeexplore.ieee.org/ Segmentation of Zeihl-Neelsen tissue slide images is an important step in computer-assisted tuberculosis bacilli detection. In Zeihl-Neelsen tissue slide image, colour is the most prominent feature to detect the presence of tuberculosis bacilli from its image. In this paper, an automatic colour image segmentation using neural network is proposed. The segmentation is based on supervised approach using Hybrid Multilayered Perceptron network. Colour images are converted to HSI colour space before being segmented by the network. The colour image are characterised in HSI colour space for better colour representation. Experimental results indicate that the proposed method provides good segmentation on variety of Ziehl-Neelsen tissue slide images. 2011-03-09T01:27:09Z 2011-03-09T01:27:09Z 2010-05-10 Working Paper p.365-368 978-1-4244-7165-2 http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=5605524 http://hdl.handle.net/123456789/11107 en Proceedings of the 10th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA) 2010 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 Biomedical image processing
Image segmentation
Neural network applications
spellingShingle Biomedical image processing
Image segmentation
Neural network applications
M. K., Osman
Mohd Yusoff, Mashor, Prof. Madya Dr.
Jaafar, H.
Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 khusairi@ppinang.uitm.edu.my
author_facet khusairi@ppinang.uitm.edu.my
M. K., Osman
Mohd Yusoff, Mashor, Prof. Madya Dr.
Jaafar, H.
format Working Paper
author M. K., Osman
Mohd Yusoff, Mashor, Prof. Madya Dr.
Jaafar, H.
author_sort M. K., Osman
title Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network
title_short Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network
title_full Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network
title_fullStr Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network
title_full_unstemmed Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network
title_sort segmentation of tuberculosis bacilli in ziehl-neelsen tissue slide images using hibrid multilayered perceptron network
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/11107
_version_ 1643789999481552896
score 13.214268

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