Categorization of cloud image patches using an improved texton-based approach

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...

Полное описание

Библиографические подробности
Главные авторы:	Dev, Soumyabrata, Lee, Yee Hui, Winkler, Stefan
Другие авторы:	School of Electrical and Electronic Engineering
Формат:	Conference Paper
Язык:	English
Опубликовано:	2016
Предметы:	Cloud texture Classification Groundbased sky imaging
Online-ссылка:	https://hdl.handle.net/10356/82916 http://hdl.handle.net/10220/40358

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