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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| Format: | Article |
| Language: | English |
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Science Publications
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43540/ http://psasir.upm.edu.my/id/eprint/43540/1/A%20Novel%20Four-Directional%20Thresholding%20Approach%20for%20Lung.pdf |
| _version_ | 1848850255933603840 |
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| author | Heidari, Saleheh Abdullah, Muhamad Taufik Abdullah, Lili Nurliyana |
| author_facet | Heidari, Saleheh Abdullah, Muhamad Taufik Abdullah, Lili Nurliyana |
| author_sort | Heidari, Saleheh |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T10:03:23Z |
| format | Article |
| id | upm-43540 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:03:23Z |
| publishDate | 2015 |
| publisher | Science Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/43540/ http://psasir.upm.edu.my/id/eprint/43540/ http://psasir.upm.edu.my/id/eprint/43540/1/A%20Novel%20Four-Directional%20Thresholding%20Approach%20for%20Lung.pdf |