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High-resolution Registration of Irradiated Concrete Scans
Název práce v češtině: Registrace high-resolution snímků ozářeného betonu
Název v anglickém jazyce: High-resolution Registration of Irradiated Concrete Scans
Klíčová slova: registrace obrazu|zpracování videa|přesnost registrace|skenování betonu|životní cyklus betonu|zpracování obrazových dat|radiační degradace betonu
Klíčová slova anglicky: image registration|video processing|registration accuracy|concrete scanning|concrete lifecycle|image data processing|radiation-induced degradation of concrete
Akademický rok vypsání: 2025/2026
Typ práce: diplomová práce
Jazyk práce: angličtina
Ústav: Katedra softwaru a výuky informatiky (32-KSVI)
Vedoucí / školitel: RNDr. Jan Blažek, Ph.D.
Řešitel: skrytý - zadáno a potvrzeno stud. odd.
Datum přihlášení: 29.04.2025
Datum zadání: 29.04.2025
Datum potvrzení stud. oddělením: 29.04.2025
Datum a čas obhajoby: 08.09.2025 09:00
Datum odevzdání elektronické podoby:16.07.2025
Datum odevzdání tištěné podoby:17.07.2025
Datum proběhlé obhajoby: 08.09.2025
Oponenti: doc. RNDr. Elena Šikudová, Ph.D.
 
 
 
Zásady pro vypracování
The primary objective of this thesis is to evaluate the performance of state-of-the-art (SOTA) algorithms for the registration of concrete scan data. The focus is on assessing their accuracy, limitations, and robustness, particularly in the context of scan alignment and integration. A key outcome should also include an analysis of scan quality and a characterization of the scanner itself.

Dataset Description:
The dataset consists of 15 representative videos in 4K resolution. Each video captures a full 360° rotation of a concrete sample (2.1 cm in diameter) under two illumination conditions: low-angle lighting (up to 15°) and nearly perpendicular lighting (above 82°).

Thesis Tasks:
- Register all video frames into a single 3D matrix of pixel intensities through image superposition.
- Analyze the frame transformations, distinguishing between meaningful signal (e.g., controlled sample rotation) and noise (e.g., vibrations, lens distortion).
- Identify suitable metrics for evaluating registration quality in the absence of ground truth data.
- Summarize findings and propose recommendations for future research and improvements to the scanning system.

Expected Deliverables:
- Functional tools for converting video scans into aligned 3D matrix representations with applied transformations.
- A comprehensive report detailing the methods used, their performance across the dataset, and insights into algorithm strengths and weaknesses.
- Determination of the upper useful resolution limit in relation to achievable registration precision.
- Recommendations for future research directions and potential adaptations or improvements to the scanning system.
Seznam odborné literatury
1) Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich, SuperPoint: Self-Supervised Interest Point Detection and Description, 2018, DOI: 10.48550/arXiv.1712.07629
2) Szeliski, R. (2010). Computer Vision: Algorithms and Applications. Springer. DOI: 10.1007/978-1-84882-935-0​
3) Ma, J., et al. (2021). Image Matching from Handcrafted to Deep Features: A Survey. International Journal of Computer Vision, 129(1), 23–79. DOI: 10.1007/s11263-020-01359-2​
4) Zitová, B., & Flusser, J. (2003). Image registration methods: a survey. Image and Vision Computing, 21(11), 977–1000. DOI: 10.1016/S0262-8856(03)00137-9
5) Field, K. G., Le Pape, Y., & Remec, I. (2015). Radiation effects in concrete for nuclear power plants – Part I: Quantification of radiation exposure and radiation effects. Nuclear Engineering and Design, 282, 126–143. DOI: 10.1016/j.nucengdes.2014.10.003
6) Salvi, J., et al. (2007). A review of recent range image registration methods with accuracy evaluation. Image and Vision Computing, 25(5), 578–596. DOI: 10.1016/j.imavis.2006.05.012
Předběžná náplň práce
The lifecycle of concrete has become a highly relevant research topic, particularly due to two key developments. First, the Fukushima incident highlighted the need to better understand how concrete properties change under intense gamma and neutron irradiation. Second, the extension of operational lifespans for nuclear power plants—especially across Europe—has intensified the demand for thorough evaluation of irradiated construction materials. In this context, the need for advanced concrete testing methods, particularly under irradiation exposure, has grown significantly.
To address this need, our team is developing a scanning system capable of efficiently processing a large volume of irradiated concrete samples with minimal manual handling. A fundamental component of this system is the production of high-quality, high-resolution scans of concrete samples under varying lighting conditions.
Předběžná náplň práce v anglickém jazyce
The lifecycle of concrete has become a highly relevant research topic, particularly due to two key developments. First, the Fukushima incident highlighted the need to better understand how concrete properties change under intense gamma and neutron irradiation. Second, the extension of operational lifespans for nuclear power plants—especially across Europe—has intensified the demand for thorough evaluation of irradiated construction materials. In this context, the need for advanced concrete testing methods, particularly under irradiation exposure, has grown significantly.
To address this need, our team is developing a scanning system capable of efficiently processing a large volume of irradiated concrete samples with minimal manual handling. A fundamental component of this system is the production of high-quality, high-resolution scans of concrete samples under varying lighting conditions.
 
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