Colour transformations and K-means segmentation for automatic cloud detection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00231193" target="_blank" >RIV/68407700:21230/15:00231193 - isvavai.cz</a>

Result on the web

<a href="http://www.schweizerbart.de/papers/metz/detail/24/85014/Colour_transformations_and_K_means_segmentation_for_automatic_cloud_detection" target="_blank" >http://www.schweizerbart.de/papers/metz/detail/24/85014/Colour_transformations_and_K_means_segmentation_for_automatic_cloud_detection</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1127/metz/2015/0656" target="_blank" >10.1127/metz/2015/0656</a>

Result language

angličtina

Original language name

Colour transformations and K-means segmentation for automatic cloud detection

Original language description

The main aim of this work is to find simple criteria for automatic recognition of several meteorological phenomena using optical digital sensors (e.g., Wide-Field cameras, automatic DSLR cameras or robotic telescopes). The output of those sensors is commonly represented in RGB channels containing information about both colour and luminosity even when normalised. Transformation into other colour spaces (e.g., CIE 1931 xyz, CIE L*a*b*, YCbCr) can separate colour from luminosity, which is especially usefulin the image processing of automatic cloud boundary recognition. Different colour transformations provide different sectorization of cloudy images. Hence, the analysed meteorological phenomena (cloud types, clear sky) project differently into the colourdiagrams of each international colour systems. In such diagrams, statistical tools can be applied in search of criteria which could determine clear sky from a covered one and possibly even perform a meteorological classification of cloud

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

<a href="/en/project/GA14-25251S" target="_blank" >GA14-25251S: Nonlinear imaging systems with spatially variant point spread function</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Meteorologische Zeitschrift

ISSN

0941-2948

e-ISSN

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Volume of the periodical

24

Issue of the periodical within the volume

5

Country of publishing house

DE - GERMANY

Number of pages

7

Pages from-to

503-509

UT code for WoS article

000363428300004

EID of the result in the Scopus database

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