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Application of the Singular Spectrum Analysis on electroluminescence images of thin-film photovoltaic modules
This paper discusses an application of the singular spectrum analysis method (SSA) in the context of electroluminescence (EL) images of thin-film photovoltaic (PV) modules.
Encoder-decoder semantic segmentation models for electroluminescence images of thin-film photovoltaic modules
We consider a series of image segmentation methods based on the deep neural networks in order to perform semantic segmentation of electroluminescence (EL) images of thin-film modules.
Automatic Processing and Solar Cell Detection in Photovoltaic Electroluminescence Images
The next important step is the extraction of the solar cells of a PV module, for instance to pass them to a procedure to detect and analyze defects on their surface.
Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images
Automated segmentation of cells is therefore a key step in automating the visual inspection workflow.
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