Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques t...
Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques through the Segmentation of a Thermal Image
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Cairo, Egypt: Hindawi Publishing Corporation
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English
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Cairo, Egypt: Hindawi Publishing Corporation
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Clustering or grouping is among the most important image processing methods that aim to split an image into different groups. Examining the literature, many clustering algorithms have been carried out, where the K-means algorithm is considered among the simplest and most used to classify an image into many regions. In this context, the main objecti...
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Full title
Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques through the Segmentation of a Thermal Image
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TN_cdi_doaj_primary_oai_doaj_org_article_bc6c6f55577e4f7fbf258cbb869f711b
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bc6c6f55577e4f7fbf258cbb869f711b
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ISSN
1110-662X
E-ISSN
1687-529X
DOI
10.1155/2020/6617597
