Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation

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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Bibliographic Details
Main Authors: Samera Shams Hussei, Sukaina Sh Altyar, Lubab Ahmed Tawfeeq, Eman S. Harba
Format: Article
Language:Arabic
Published: College of Science for Women, University of Baghdad 2020-07-01
Series:Baghdad Science Journal
Subjects:
Crack reconstruction, Distance Regularized Level Set Evolution Segmentation, EndoScope, 3D Object Reconstruction, 3D Scanner, Small hole reconstruction.
Online Access:http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3009

Internet

http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3009

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