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  1. B200 工学部/工学研究科
  2. B200a 雑誌掲載論文
  3. 学術雑誌

On the Texture Angle Detection Used in Space-Time Image Velocimetry (STIV)

http://hdl.handle.net/2237/27352
http://hdl.handle.net/2237/27352
77b2d7f0-970b-4227-bf17-7bc669dc8964
名前 / ファイル ライセンス アクション
Tsubaki-2017-Water_Resources_Research.pdf Tsubaki-2017-Water_Resources_Research.pdf ファイル公開:2018/06/01 (799.4 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2018-02-01
タイトル
タイトル On the Texture Angle Detection Used in Space-Time Image Velocimetry (STIV)
言語 en
著者 Tsubaki, Ryota

× Tsubaki, Ryota

WEKO 74995

en Tsubaki, Ryota

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 © 2017 American Geophysical Union
抄録
内容記述 The space-time image velocimetry (STIV) method evaluates the velocity of a water surface by analyzing a texture angle within a space-time image (STI) obtained from an image sequence of the flowing water's surface. The brightness gradient tensor (BGT) has been utilized for calculating the texture angle of the STI within the original STIV. The BGT is sensitive to image quality, especially high-frequency noise, and this fact limits the capability and accuracy of the velocity estimation. The objectives of this study were to understand why the BGT is sensitive to high-frequency noise and how to resolve this defect. In the manuscript, derivation of the BGT is first reviewed and then a geometric representation of the BGT is discussed. The reason the BGT is sensitive to high-frequency noise is also discussed, and, then, based on geometric representations of the BGT, a measure to improve this defect is proposed. To demonstrate differences between the two methods, texture angles from artificial and field image sets were also analyzed using the BGT and the improved BGT.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 Wiley
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1002/2017WR021913
ISSN
収録物識別子タイプ PISSN
収録物識別子 0043-1397
書誌情報 en : Water Resources Research

巻 53, 号 12, p. 10908-10914, 発行日 2017-12
著者版フラグ
値 publisher
URI
識別子 http://doi.org/10.1002/2017WR021913
識別子タイプ DOI
URI
識別子 http://hdl.handle.net/2237/27352
識別子タイプ HDL
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