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Weather cloud particle image cropping is the preprocessing of cloud microphysical process research by computer image recognition technology. There are two types of cloud particle images: raindrop cloud particle images and ice and snow cloud particle images. According to the characteristics of cloud particle images, this paper uses two methods: calculating connected components and sliding detection window. Cropping methods use sparse matrix and Dulmage-Mendelsohn Decomposition. Cropping time and cropping effect of these methods are compared and analyzed. The results demonstrate that calculating connected components is more suitable for cloud particle image and is beneficial to image feature extraction and shape recognition for cloud particle.
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