4.7 Article

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

Journal

WATER RESOURCES RESEARCH
Volume 53, Issue 12, Pages 10908-10914

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2017WR021913

Keywords

-

Funding

  1. Ministry of Land, Infrastructure, Transport and Tourism (MLIT), Japan
  2. JSPS KAKENHI [JP16K06609, JP17K06574, JP17K06575]
  3. Grants-in-Aid for Scientific Research [17K06574, 16K06609, 17K06575] Funding Source: KAKEN

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available