Presentation 2009-11-26
Classification of snow particles using image processing
Kazuki SETO, Karolina NURZYNSKA, Mamoru KUBO, Ken-ichiro MURAMOTO, Toru SHIINA,
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Abstract(in English) Classification of snow particles is important in the investigation of the growth process of snow particles. It is also important for determination of the relationship between snowfall rate and radar reflectivity. Natural falling snow particles were photographed by CCD video camera with a shutter speed of 1/10000s. To obtain shape parameters of snow particles, both binary and gray-level images were used. Each particle was classified into a graupel or a snowflake by statistical classification procedure using image features. The proposed method has been successfully tested in snowfall, obtaining the percentages of snowflakes and graupels at 1min interval.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) shape classification / snow particle / image processing / snowflake / graupel
Paper # PRMU2009-96
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Conference Information
Committee PRMU
Conference Date 2009/11/19(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classification of snow particles using image processing
Sub Title (in English)
Keyword(1) shape classification
Keyword(2) snow particle
Keyword(3) image processing
Keyword(4) snowflake
Keyword(5) graupel
1st Author's Name Kazuki SETO
1st Author's Affiliation Graduate School of Natural Science and Technology, Kanazawa University()
2nd Author's Name Karolina NURZYNSKA
2nd Author's Affiliation Graduate School of Natural Science and Technology, Kanazawa University
3rd Author's Name Mamoru KUBO
3rd Author's Affiliation Graduate School of Natural Science and Technology, Kanazawa University
4th Author's Name Ken-ichiro MURAMOTO
4th Author's Affiliation Graduate School of Natural Science and Technology, Kanazawa University
5th Author's Name Toru SHIINA
5th Author's Affiliation Department of Electrical Engineering, Toyama National College of Technology
Date 2009-11-26
Paper # PRMU2009-96
Volume (vol) vol.109
Number (no) 306
Page pp.pp.-
#Pages 6
Date of Issue