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A novel four-directional thresholding approach for lung computed-tomography images by using similarity-based segmentation technique

In automated pulmonary nodules extraction and lung disease diagnosis by image processing techniques, image segmentation is utilized as a primary and the most essential step of lung tumour analysis. But due to extensive similarity between pulmonary vessels, bronchus and arteries in lung region and th...

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Main Authors: Heidari, Saleheh, Abdullah, Muhamad Taufik, Abdullah, Lili Nurliyana
Format: Article
Language:English
Published: Science Publications 2015
Online Access:http://psasir.upm.edu.my/id/eprint/43540/1/A%20Novel%20Four-Directional%20Thresholding%20Approach%20for%20Lung.pdf
http://psasir.upm.edu.my/id/eprint/43540/
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spelling my.upm.eprints.435402016-06-29T02:47:56Z http://psasir.upm.edu.my/id/eprint/43540/ A novel four-directional thresholding approach for lung computed-tomography images by using similarity-based segmentation technique Heidari, Saleheh Abdullah, Muhamad Taufik Abdullah, Lili Nurliyana In automated pulmonary nodules extraction and lung disease diagnosis by image processing techniques, image segmentation is utilized as a primary and the most essential step of lung tumour analysis. But due to extensive similarity between pulmonary vessels, bronchus and arteries in lung region and the low contrast of the Computed-Tomography (CT) image the accuracy of lung tumour diagnosis is highly dependent on the precision of segmentation. Therefore, precise lung CT image segmentation has become a challenging preprocessing task for every lung disease pathological application. In this study, a novel Four-Directional Thresholding (FDT) technique is introduce d. This propounded technique segments the pulmonary parenchyma in Computed-Tomography (CT) images using the Similarity-Based Segmentation (SBS). The proposed technique aims to augment the precision of the CT image thresholding by implementing an advanced thresholding approach from four different directions in which the determination of pixels’ value as being either on foreground or background is highly dependent on its adjacent pixel’s intensity value and the final decision is made based on all four directions’ thresholding results. In this study the importance of neighbour pixels in precision of thresholding with FDT technique is demonstrated and the effectiveness of FDT method has been evaluated on different CT images. Eventually the result of segmentation using FDT method is compared by other precursors techniques, which corroborates the high exactitude of proposed technique. Science Publications 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43540/1/A%20Novel%20Four-Directional%20Thresholding%20Approach%20for%20Lung.pdf Heidari, Saleheh and Abdullah, Muhamad Taufik and Abdullah, Lili Nurliyana (2015) A novel four-directional thresholding approach for lung computed-tomography images by using similarity-based segmentation technique. Journal of Computer Science, 11 (1). pp. 195-203. ISSN 1549-3636; ESSN: 1552-6607 10.3844/jcssp.2015.195.203
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In automated pulmonary nodules extraction and lung disease diagnosis by image processing techniques, image segmentation is utilized as a primary and the most essential step of lung tumour analysis. But due to extensive similarity between pulmonary vessels, bronchus and arteries in lung region and the low contrast of the Computed-Tomography (CT) image the accuracy of lung tumour diagnosis is highly dependent on the precision of segmentation. Therefore, precise lung CT image segmentation has become a challenging preprocessing task for every lung disease pathological application. In this study, a novel Four-Directional Thresholding (FDT) technique is introduce d. This propounded technique segments the pulmonary parenchyma in Computed-Tomography (CT) images using the Similarity-Based Segmentation (SBS). The proposed technique aims to augment the precision of the CT image thresholding by implementing an advanced thresholding approach from four different directions in which the determination of pixels’ value as being either on foreground or background is highly dependent on its adjacent pixel’s intensity value and the final decision is made based on all four directions’ thresholding results. In this study the importance of neighbour pixels in precision of thresholding with FDT technique is demonstrated and the effectiveness of FDT method has been evaluated on different CT images. Eventually the result of segmentation using FDT method is compared by other precursors techniques, which corroborates the high exactitude of proposed technique.
format Article
author Heidari, Saleheh
Abdullah, Muhamad Taufik
Abdullah, Lili Nurliyana
spellingShingle Heidari, Saleheh
Abdullah, Muhamad Taufik
Abdullah, Lili Nurliyana
A novel four-directional thresholding approach for lung computed-tomography images by using similarity-based segmentation technique
author_facet Heidari, Saleheh
Abdullah, Muhamad Taufik
Abdullah, Lili Nurliyana
author_sort Heidari, Saleheh
title A novel four-directional thresholding approach for lung computed-tomography images by using similarity-based segmentation technique
title_short A novel four-directional thresholding approach for lung computed-tomography images by using similarity-based segmentation technique
title_full A novel four-directional thresholding approach for lung computed-tomography images by using similarity-based segmentation technique
title_fullStr A novel four-directional thresholding approach for lung computed-tomography images by using similarity-based segmentation technique
title_full_unstemmed A novel four-directional thresholding approach for lung computed-tomography images by using similarity-based segmentation technique
title_sort novel four-directional thresholding approach for lung computed-tomography images by using similarity-based segmentation technique
publisher Science Publications
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/43540/1/A%20Novel%20Four-Directional%20Thresholding%20Approach%20for%20Lung.pdf
http://psasir.upm.edu.my/id/eprint/43540/
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score 13.211869

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