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Microwave Tomography for Industrial Process Imaging: Example Applications and Experimental Results
- Source :
- IEEE Antennas and Propagation Magazine. 59:61-71
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- This article describes the implementation of microwave tomography for industrial process applications. Microwave tomography for industrial process imaging has different requirements from that for medical imaging. In addition to spatial resolution, high temporal resolution or real-time imaging is also important for high-speed processes, flows, or rapid reactions. Depending on the specific application, both quantitative imaging and qualitative imaging may be needed. Qualitative imaging would be sufficient to display distributions, patterns, or shapes, which may be adequate for some applications. Quantitative imaging would, however, be more informative, giving images with quantitative dielectric contrast or permittivity values from which other physical parameters, such as density, moisture content, and phase fraction, may be derived. With the microwave tomography approach described, several example applications in industrial processes are demonstrated, and a number of experimental imaging results are presented.
- Subjects :
- Computer science
Acoustics
Instrumentation
020208 electrical & electronic engineering
020206 networking & telecommunications
Industrial computed tomography
02 engineering and technology
Iterative reconstruction
Condensed Matter Physics
Nuclear magnetic resonance
Microwave imaging
Computer Science::Computer Vision and Pattern Recognition
0202 electrical engineering, electronic engineering, information engineering
Medical imaging
Tomography
Electrical and Electronic Engineering
Industrial process imaging
Image resolution
Subjects
Details
- ISSN :
- 15584143 and 10459243
- Volume :
- 59
- Database :
- OpenAIRE
- Journal :
- IEEE Antennas and Propagation Magazine
- Accession number :
- edsair.doi...........c75aa4ccb1681b4ad2e8445f7683f248
- Full Text :
- https://doi.org/10.1109/map.2017.2731201