Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation
Three-dimensional (3D) reconstruction from images is a most beneficial method of object regeneration by using a photo-realistic way that can be used in many fields. For industrial fields, it can be used to visualize the cracks within alloys or walls. In medical fields, it has been used as 3D scanner...
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| Format: | Article |
| Language: | English |
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University of Baghdad, College of Science for Women
2020-07-01
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| Series: | مجلة بغداد للعلوم |
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| Online Access: | http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3009 |
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| author | Samera Shams Hussei Sukaina Sh Altyar Lubab Ahmed Tawfeeq Eman S. Harba |
| author_facet | Samera Shams Hussei Sukaina Sh Altyar Lubab Ahmed Tawfeeq Eman S. Harba |
| author_sort | Samera Shams Hussei |
| collection | DOAJ |
| description | Three-dimensional (3D) reconstruction from images is a most beneficial method of object regeneration by using a photo-realistic way that can be used in many fields. For industrial fields, it can be used to visualize the cracks within alloys or walls. In medical fields, it has been used as 3D scanner to reconstruct some human organs such as internal nose for plastic surgery or to reconstruct ear canal for fabricating a hearing aid device, and others. These applications need high accuracy details and measurement that represent the main issue which should be taken in consideration, also the other issues are cost, movability, and ease of use which should be taken into consideration. This work has presented an approach for design and constructed a low-cost three-dimensional object scanner. We have proposed a 3D canal reconstruction system (ear or nose) based on using 2D images for reconstruction 3D object. A low-cost EndoScope with a proposed program based upon utilized the segmentation algorithm type “Distance Regularized Level” to segment active edges from images then generate mesh object in order to generate 3D structure for small canals or cracks. The results show good accuracy of the reconstructed object in both details and their measurements which are related to the success in the reconstruction of algorithm that yields good three-dimensional meshes object. |
| format | Article |
| id | doaj-art-33cfbfdfef2b47f7985aebf6dc1b8854 |
| institution | Kabale University |
| issn | 2078-8665 2411-7986 |
| language | English |
| publishDate | 2020-07-01 |
| publisher | University of Baghdad, College of Science for Women |
| record_format | Article |
| series | مجلة بغداد للعلوم |
| spelling | doaj-art-33cfbfdfef2b47f7985aebf6dc1b88542025-08-20T03:56:13ZengUniversity of Baghdad, College of Science for Womenمجلة بغداد للعلوم2078-86652411-79862020-07-0117310.21123/bsj.2020.17.3.0899Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object GenerationSamera Shams Hussei0Sukaina Sh Altyar1Lubab Ahmed Tawfeeq2Eman S. Harba3University of BaghdadUniversity of BaghdadUniversity of BaghdadUniversity of BaghdadThree-dimensional (3D) reconstruction from images is a most beneficial method of object regeneration by using a photo-realistic way that can be used in many fields. For industrial fields, it can be used to visualize the cracks within alloys or walls. In medical fields, it has been used as 3D scanner to reconstruct some human organs such as internal nose for plastic surgery or to reconstruct ear canal for fabricating a hearing aid device, and others. These applications need high accuracy details and measurement that represent the main issue which should be taken in consideration, also the other issues are cost, movability, and ease of use which should be taken into consideration. This work has presented an approach for design and constructed a low-cost three-dimensional object scanner. We have proposed a 3D canal reconstruction system (ear or nose) based on using 2D images for reconstruction 3D object. A low-cost EndoScope with a proposed program based upon utilized the segmentation algorithm type “Distance Regularized Level” to segment active edges from images then generate mesh object in order to generate 3D structure for small canals or cracks. The results show good accuracy of the reconstructed object in both details and their measurements which are related to the success in the reconstruction of algorithm that yields good three-dimensional meshes object.http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3009Crack reconstruction, Distance Regularized Level Set Evolution Segmentation, EndoScope, 3D Object Reconstruction, 3D Scanner, Small hole reconstruction. |
| spellingShingle | Samera Shams Hussei Sukaina Sh Altyar Lubab Ahmed Tawfeeq Eman S. Harba Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation مجلة بغداد للعلوم Crack reconstruction, Distance Regularized Level Set Evolution Segmentation, EndoScope, 3D Object Reconstruction, 3D Scanner, Small hole reconstruction. |
| title | Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation |
| title_full | Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation |
| title_fullStr | Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation |
| title_full_unstemmed | Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation |
| title_short | Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation |
| title_sort | reconstruction of three dimensional object from two dimensional images by utilizing distance regularized level algorithm and mesh object generation |
| topic | Crack reconstruction, Distance Regularized Level Set Evolution Segmentation, EndoScope, 3D Object Reconstruction, 3D Scanner, Small hole reconstruction. |
| url | http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3009 |
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