Miroslav Yosifov

ORCID: 0000-0002-6318-4869
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About
Contact & Profiles
Research Areas
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Additive Manufacturing Materials and Processes
  • Aluminum Alloy Microstructure Properties
  • Image and Object Detection Techniques
  • Non-Destructive Testing Techniques
  • Digital Radiography and Breast Imaging
  • Advanced X-ray Imaging Techniques
  • Welding Techniques and Residual Stresses
  • Titanium Alloys Microstructure and Properties

University of Antwerp
2022

University of Applied Sciences Upper Austria
2022

This research investigates the effectiveness of image quality metrics in predicting human perception superresolution computed tomography images. By comparing multiple and correlating their scores with expert ratings on attributes such as noise, contrast, sharpness, we aim to identify that closely align visual judgment. Our findings highlight limitations relying solely a single metric for assessment emphasize importance considering specific tasks content when selecting appropriate metrics....

10.58286/30753 article EN cc-by e-Journal of Nondestructive Testing 2025-01-30

In this work, we apply and adapt established probability of detection (POD) methods on the in-line inspection aluminium cylinder heads using X-ray computed tomography (XCT). We propose to use XCT simulation tool SimCT simulate virtual radiographs from specimen including artificial defects, which avoids manufacturing specimens with calibrated defects known type (e.g. pores, inclusions, cracks) characteristics size, shape, location). To quantify POD, these images are analysed ZEISS automated...

10.1080/10589759.2022.2071892 article EN cc-by Nondestructive Testing And Evaluation 2022-05-18

X-ray computed tomography (CT) has gained significant traction across various industrial sectors as a dimensional metrology tool, providing holistic characterizations and enhancing the development of new products. However, despite its potential, CT scanning can be relatively slow, often hindering routine adoption for many applications. This study investigates strategies to optimize measurement speed while maintaining accuracy through an experimental approach that includes fast...

10.58286/30733 article EN cc-by e-Journal of Nondestructive Testing 2025-01-30
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