Master Thesis

Machine Learning-based Segmentation applied to wind turbine images

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  • Started: 29/09/2023
  • Finished: 23/01/2024


This collaborative study with Wind Power Lab and IRI aimed to enhance image segmentation algorithms, specifically region growing, through innovative image pre-processing techniques. The core objective was to modify the color space of images using statistical methods and optimization tools to improve algorithm performance. The project involved the development and analysis of the region growing algorithm. We explored various colour scales and assessed their impact on segmentation outcomes, leading to a deeper understanding of customised image colour scale modifications.