Applying local binary patterns in image clustering problems

Nikolai N. Skorokhod; Alexey I. Elizarov

doi:10.1117/12.2285017

30 November 2017 Applying local binary patterns in image clustering problems

Nikolai N. Skorokhod, Alexey I. Elizarov

Proceedings Volume 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 104660Z (2017) https://doi.org/10.1117/12.2285017
Event: XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2017, Irkutsk, Russian Federation

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.

Citation Download Citation

Nikolai N. Skorokhod and Alexey I. Elizarov "Applying local binary patterns in image clustering problems", Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104660Z (30 November 2017); https://doi.org/10.1117/12.2285017

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