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Improving the Image Quality of Millimeter Wave Imaging Systems Based on Inverse Scattering Algorithms and Active Volume Models

Shamsi, Behrouz | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54638 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Kavehvash, Zahra; Shabany, Mahdi
  7. Abstract:
  8. Increasing advances in millimeter-wave imaging have given the new technology a special place in military and civilian activities. A very important advantage of this imaging system, which has led to its rapid development and growth, is that unlike methods such as X-ray imaging, the millimeter-wave signal is completely harmless to the human body. Because millimeter-wave imaging is non-ionizing, allowing for non- invasive imaging. Also, the millimeter-wave easily passes through human clothing and is reflected when it hits the human body, metal and ceramic objects, and some other objects. As a result, it can be used to photograph underwear, insensitive and safe places such as airports. In this thesis, first we investigate different millimeter-wave imaging systems and reconstruction algorithms and discuss the problem of the reconstruction algorithms. Then we examined the reasons for the formation of aliasing and its effects on the reconstructed image. We examined the Coherence Factor (CF) and Phase Coherence Factor (PCF) methods to reduce the effects of Aliasing. Finally, we explored different ways of 3D image projection. In this section, we reviewed the methods of deformable models, Iterative Closing Point (ICP), Depth Maximization, and Radial Maximization (Proposed Method). The improved radial optimization method is a deep maximization method, but it also has a high computational load
  9. Keywords:
  10. Millimeter-Wave Imaging ; Image Reconstruction ; Coherence Parameter ; Three Dimentional Image Projection ; Image Aliasing ; Phase Coherence Factor ; Image Enhancement

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