A study of nodule detection using Opaque Object Filter

This paper describes a study of Opaque Object Filter to extract region with nodule from chest x-ray image. A gray level chest x-ray image is preprocessed using Euler number algorithm to extract lung region. Defined Euler number algorithm is a statistical extraction of data obtained from Euler number...

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Main Authors: Wong, L. P., Ewe, H. T.
Format: Conference or Workshop Item
Published: 2006
Subjects:
Online Access:http://shdl.mmu.edu.my/3203/
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author Wong, L. P.
Ewe, H. T.
author_facet Wong, L. P.
Ewe, H. T.
author_sort Wong, L. P.
building MMU Institutional Repository
collection Online Access
description This paper describes a study of Opaque Object Filter to extract region with nodule from chest x-ray image. A gray level chest x-ray image is preprocessed using Euler number algorithm to extract lung region. Defined Euler number algorithm is a statistical extraction of data obtained from Euler numbers for binary image. Suitable threshold value is computed based on minimum and maximum of the correlated gray scale value. After lung region was extracted, we applied our defined Opaque Object Filter to extract nodules image window. We use defined filter to perform heuristic search through the chest x-ray image. Defined Opaque Object Filter utilized radius and spatial axis vector analysis to extract nodules image window. Noise filter is defined to eliminate the border of lung area effects. A flow chart for the search is introduced. Initial result shows the filter is able to extract nodules image window within chest x-ray image.
first_indexed 2025-11-14T18:09:50Z
format Conference or Workshop Item
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institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:09:50Z
publishDate 2006
recordtype eprints
repository_type Digital Repository
spelling mmu-32032011-10-18T06:04:12Z http://shdl.mmu.edu.my/3203/ A study of nodule detection using Opaque Object Filter Wong, L. P. Ewe, H. T. T Technology (General) QA75.5-76.95 Electronic computers. Computer science This paper describes a study of Opaque Object Filter to extract region with nodule from chest x-ray image. A gray level chest x-ray image is preprocessed using Euler number algorithm to extract lung region. Defined Euler number algorithm is a statistical extraction of data obtained from Euler numbers for binary image. Suitable threshold value is computed based on minimum and maximum of the correlated gray scale value. After lung region was extracted, we applied our defined Opaque Object Filter to extract nodules image window. We use defined filter to perform heuristic search through the chest x-ray image. Defined Opaque Object Filter utilized radius and spatial axis vector analysis to extract nodules image window. Noise filter is defined to eliminate the border of lung area effects. A flow chart for the search is introduced. Initial result shows the filter is able to extract nodules image window within chest x-ray image. 2006-12 Conference or Workshop Item NonPeerReviewed Wong, L. P. and Ewe, H. T. (2006) A study of nodule detection using Opaque Object Filter. In: 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006 (BioMed 2006), 11-14 DEC 2006 , Kuala Lumpur, MALAYSIA . http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=Y2M4cogb143I6iogn9p&page=122&doc=1219
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Wong, L. P.
Ewe, H. T.
A study of nodule detection using Opaque Object Filter
title A study of nodule detection using Opaque Object Filter
title_full A study of nodule detection using Opaque Object Filter
title_fullStr A study of nodule detection using Opaque Object Filter
title_full_unstemmed A study of nodule detection using Opaque Object Filter
title_short A study of nodule detection using Opaque Object Filter
title_sort study of nodule detection using opaque object filter
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3203/
http://shdl.mmu.edu.my/3203/