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Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network

The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Po...

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Main Authors: Rafikha Aliana, A. Raof, Mohd Yusoff, Mashor, Prof. Dr., R. Badlishah, Ahmad, Prof. Dr., Noor, S. S. M., M. A. Abdullah, M. K. Osman
Other Authors: rafikha@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2013
Subjects:
Image processing
Classification
Neural network
Tuberculosis
Ziehl-Neelsen
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/29361
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spelling my.unimap-293612013-10-30T13:59:23Z Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network Rafikha Aliana, A. Raof Mohd Yusoff, Mashor, Prof. Dr. R. Badlishah, Ahmad, Prof. Dr. Noor, S. S. M. M. A. Abdullah M. K. Osman rafikha@unimap.edu.my yusoff@unimap.edu.my Image processing Classification Neural network Tuberculosis Ziehl-Neelsen The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. Manual screening by light microscopy is the most widely used method for tubercle bacilli detection in the developing country. However, it is a time consuming and labour-intensive process. In this paper, a method using image processing technique and neural network classification has been proposed for automated tubercle bacilli detection in sputum slide images. The method mainly consists of three main stages: image segmentation, feature extraction and identification. Hybrid multilayered perceptron (HMLP) network using modified recursive prediction error training algorithm have been used to perform TB identification. Experimental results demonstrated that the HMLP network achieved the classification accuracy with percentage of 73.9%. 2013-10-30T13:59:23Z 2013-10-30T13:59:23Z 2012-06-18 Working Paper p. 1098 - 1104 978-967-5760-11-2 http://hdl.handle.net/123456789/29361 en Proceedings of The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP)
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 Image processing
Classification
Neural network
Tuberculosis
Ziehl-Neelsen
spellingShingle Image processing
Classification
Neural network
Tuberculosis
Ziehl-Neelsen
Rafikha Aliana, A. Raof
Mohd Yusoff, Mashor, Prof. Dr.
R. Badlishah, Ahmad, Prof. Dr.
Noor, S. S. M.
M. A. Abdullah
M. K. Osman
Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network
description The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.
author2 rafikha@unimap.edu.my
author_facet rafikha@unimap.edu.my
Rafikha Aliana, A. Raof
Mohd Yusoff, Mashor, Prof. Dr.
R. Badlishah, Ahmad, Prof. Dr.
Noor, S. S. M.
M. A. Abdullah
M. K. Osman
format Working Paper
author Rafikha Aliana, A. Raof
Mohd Yusoff, Mashor, Prof. Dr.
R. Badlishah, Ahmad, Prof. Dr.
Noor, S. S. M.
M. A. Abdullah
M. K. Osman
author_sort Rafikha Aliana, A. Raof
title Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network
title_short Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network
title_full Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network
title_fullStr Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network
title_full_unstemmed Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network
title_sort detection of tubercle bacilli in ziehl-neelsen stained sputum slide images using hu’s moment and hmlp network
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/29361
_version_ 1643795651300950016
score 13.214268

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