Categorization of cloud image patches using an improved texton-based approach
We propose a modified texton-based classification approach that integrates both color and texture information for improved classification results. We test our proposed method for the task of cloud classification on SWIMCAT, a large new database of cloud images taken with a ground-based sky imager, w...
Главные авторы: | Dev, Soumyabrata, Lee, Yee Hui, Winkler, Stefan |
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Другие авторы: | School of Electrical and Electronic Engineering |
Формат: | Conference Paper |
Язык: | English |
Опубликовано: |
2016
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Предметы: | |
Online-ссылка: | https://hdl.handle.net/10356/82916 http://hdl.handle.net/10220/40358 |
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