Weather Characterization from Outdoor Scene Images

2018
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Authors: Jenade Moodley; Serestina Viriri
Published in: Computer Vision and Graphics
Publisher: Springer International Publishing

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Abstract

This paper presents a variety of techniques to characterize outdoor scene images into their respective weather components; the sky condition (sunny or cloudy), the presence of rain, and the visibility. Weather characterization is not an easy task due to a large variety of outdoor scene images. Each weather component is characterized individually. The results obtained are promising. The accuracy rates for the weather components achieved are; the sky condition attained 80%, the presence of rain attained 60%, and visibility achieved a mean squared error (MSE) of 1.41.

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previous chapter Character Recognition Based on Skeleton Analysis

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Metadata
Literature

Title: Weather Characterization from Outdoor Scene Images
Authors: Jenade Moodley
Serestina Viriri
Publisher: Springer International Publishing
Book: Computer Vision and Graphics
Print ISBN: 978-3-030-00691-4

Electronic ISBN: 978-3-030-00692-1

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-00692-1_15

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