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- W2965681108 abstract "Air pollution is one of the world's most substantial environmental health risks, and efforts are being made to reduce its adverse impacts on human health. The prime step in preventing the threats posed by air pollution is devising tools for reporting the air quality to the public by which they are able to make proper decisions to reduce the exposure to the pollution. In this paper, we present an image-processing-based method for classification of the air quality level (AQL) by leveraging on image analytics and computer vision techniques. By analyzing an image taken of the sky and extracting useful features from it, the proposed method can accurately classify the AQL and is suitable to be embedded into portable devices such as smartphones to inform the users of the air pollution exposure status. A dataset of 3422 images, called ImSkySet, was built and used to extract features for training the classifier. We have thoroughly evaluated the performance of the system and reported the experimental results which show an average accuracy of approximately 82.02%. Our results provide a promising case for the benefits of utilizing image processing approaches to monitor the air quality for the purpose of raising public awareness." @default.
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- W2965681108 date "2019-04-01" @default.
- W2965681108 modified "2023-09-24" @default.
- W2965681108 title "Classification of the Air Quality Level based on Analysis of the Sky Images" @default.
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- W2965681108 doi "https://doi.org/10.1109/iraniancee.2019.8786738" @default.
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