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Three-dimensional volume reconstruction of an object from x-ray images
| Content Provider | Semantic Scholar |
|---|---|
| Author | Roh, Young Jun Kim, Byounghoon Cho, Hyungsuck Kim, Hyeon-Cheol |
| Copyright Year | 2001 |
| Abstract | 12 Inspection and shape measurement of 3D objects are widely needed in industries for quality monitoring and control. A number of visual or optical technologies have been successfully applied to measure 3D surfaces. However, those conventional visual or optical methods have inherent shortcomings, which are occlusion problem and variant surface reflection problem. X-ray vision system can be a good solution to these conventional problems, since we can extract the volume information including both the surface geometry and the inner structure of the object. In the x-ray system, the surface condition of an object, whether it is lambertian or specular, does not affect the inherent characteristics of its x-ray images. In this paper, we propose a 3D x-ray imaging method to reconstruct a 3D structure of an object out of 2D x-ray image sets. |
| File Format | PDF HTM / HTML |
| DOI | 10.1117/12.417225 |
| Volume Number | 4190 |
| Alternate Webpage(s) | http://koasas.kaist.ac.kr/bitstream/10203/1371/1/Three-dimensional%20volume%20reconstruction%20of%20an%20object%20from%20x-ray%20images.pdf |
| Alternate Webpage(s) | https://doi.org/10.1117/12.417225 |
| Journal | SPIE Optics East |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
