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Open AccessArticle

A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky Images

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
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Atmosphere 2019, 10(11), 640; https://doi.org/10.3390/atmos10110640
Received: 20 September 2019 / Revised: 17 October 2019 / Accepted: 22 October 2019 / Published: 24 October 2019
(This article belongs to the Section Climatology and Meteorology)
Cloud detection for ground-based sky images has attracted much attention in cloud-related fields. In this paper, we proposed a cloud detection algorithm that reduced the sunlight interference in the image. The solar location method was introduced to track the sun in the image used for feature calculation, which was suitable for the case where the camera could not be calibrated. Following this, the adjustable red green difference (ARGD) feature using red and green channels was proposed. The red weight in the feature was determined by the layering region division, which classified the degree of sunlight interference in the image, and the sky state, which discriminated whether there was sunlight interference in the image. Finally, a fixed zero threshold was applied to feature images in order to obtain the cloud detection results. Experimental results showed that the proposed algorithm performs better than the other algorithms and can effectively reduce the sunlight interference. View Full-Text
Keywords: clouds detection; sunlight interference; solar location; ground-based images; image processing clouds detection; sunlight interference; solar location; ground-based images; image processing
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Li, X.; Lu, Z.; Zhou, Q.; Xu, Z. A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky Images. Atmosphere 2019, 10, 640.

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