A method for automated identification of types of solid precipitation by image processing: Part 1 A measurement method of diameter and fall speed by image processing

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  • SHIINA Toru
    Toyama National College of Technology
  • ISHIZAKA Masaaki
    Snow and Ice Research Group, National Institute for Earth Science and Disaster Prevention
  • MURAMOTO Ken-ichiro
    Faculty of Engineering, Kanazawa University
  • NAKAI Sento
    Snow and Ice Research Group, National Institute for Earth Science and Disaster Prevention
  • SATO Atsushi
    Snow and Ice Research Group, National Institute for Earth Science and Disaster Prevention
  • IWAMOTO Katsushi
    Snow and Ice Research Group, National Institute for Earth Science and Disaster Prevention

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Other Title
  • 画像処理手法を用いた自動観測による降雪粒子の同定について　　その１　粒径および落下速度計測の画像解析手法について
  • ガゾウ ショリ シュホウ オ モチイタ ジドウ カンソク ニ ヨル コウセツ リュウシ ノ ドウテイ ニ ツイテ ソノ 1 リュウケイ オヨビ ラッカ ソクド ケイソク ノ ガゾウ カイセキ シュホウ ニ ツイテ
  • Part 1 A measurement method of diameter and fall speed by image processing
  • その1 粒径および落下速度計測の画像解析手法について

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Abstract

This proposed technique is not only useful to observe snowfall quantitatively, but also to measure the kind and quality of solid precipitation. This study focuses on measurement of the diameter and terminal velocity of falling snow particles. The CCD camera has a high shutter speed (1/4000s) so that the shape of each particle can be obtained. Since it is not possible to measure fall velocity using the afterimage of a particle, a new image analysis technique is required. This paper proposes a new image technique to measure fall velocity of snow particles.The results of measurements using these techniques are compared.

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