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Proceedings Paper

Applying local binary patterns in image clustering problems
Author(s): Nikolai N. Skorokhod; Alexey I. Elizarov
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Paper Abstract

Due to the fact that the cloudiness plays a critical role in the Earth radiative balance, the study of the distribution of different types of clouds and their movements is relevant. The main sources of such information are artificial satellites that provide data in the form of images. The most commonly used method of solving tasks of processing and classification of images of clouds is based on the description of texture features. The use of a set of local binary patterns is proposed to describe the texture image.

Paper Details

Date Published: 30 November 2017
PDF: 4 pages
Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104660Z (30 November 2017); doi: 10.1117/12.2285017
Show Author Affiliations
Nikolai N. Skorokhod, National Research Tomsk State Univ. (Russian Federation)
Alexey I. Elizarov, National Research Tomsk State Univ. (Russian Federation)
Institute of Atmospheric Optics (Russian Federation)


Published in SPIE Proceedings Vol. 10466:
23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

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