Abstract
The presence of dark swirls or rings in luminescence image of a solar cell is usually caused by oxygen precipitate during fabrication of a solar cell. This is not desirable as it could cause a drop in efficiency of the cell. An application of gray level co-occurrence matrix (GLCM) is presented to detect such dark swirls or rings in both photoluminescence (PL) and electroluminescence (EL) images. It was found that the energy values calculated from a GLCM has a good separation between defective and non-defective images. A threshold was established based on the energy values and was then used to perform classification. Experiments have shown that this method provides a good result with minimal under-rejection and over-rejection rate for both PL and EL.
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Acknowledgments
This work has been supported by the Collaborative Research in Engineering, Science and Technology (CREST), grant 304/PELECT/6050264/C121.
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Teo, T.W., Abdullah, M.Z. (2017). Detection of Oxygen Precipitate Dark Rings in Solar Cell Luminescence Using Gray Level Co-occurrence Matrix. In: Ibrahim, H., Iqbal, S., Teoh, S., Mustaffa, M. (eds) 9th International Conference on Robotic, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 398. Springer, Singapore. https://doi.org/10.1007/978-981-10-1721-6_33
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DOI: https://doi.org/10.1007/978-981-10-1721-6_33
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