Promising Future Processing Technology

doi:10.1016/b978-1-4377-7859-5.00005-3

Cited by 1 publication

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“…For this purpose, we followed the theories laid down by mechanical engineering and processing technology, where the surfaces are represented as a composition of different sinusoidal waves. The high frequency waves are defining the roughness, medium frequencies are the waviness, and low frequencies consist of the form of the given surface ( Figure 7) [28][29][30][31]. The suitable decomposition of the surface profile was performed along transects, using the International Organization for Standardization (ISO) 16610-21 closed profile Gaussian filter.…”

Section: Applied Stereo Computer Vision Techniques For Estimation Thementioning

confidence: 99%

Image-Based Bed Material Mapping of a Large River

Ermilov

Baranya

Török³

2020

Water

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The composition or bed material plays a crucial role in the physical hydromorphological processes of fluvial systems. However, conventional bed material sampling methods provide only pointwise information, which can be inadequate when investigating large rivers of inhomogeneous bed material characteristics. In this study, novel, image-based approaches are implemented to gain areal information of the bed surface composition using two different techniques: monocular and stereo computer vision. Using underwater videos, captured in shorter reaches of the Hungarian Danube River, a comparison of the bed material grain size distributions from conventional physical samplings and the ones reconstructed from the images is carried out. Moreover, an attempt is made to quantify bed surface roughness, using the so-called Structure from Motion image analysis method. Practical aspects of the applicability of image-based bed material mapping are discussed and future improvements towards an automatized mapping methodology are outlined.

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Section: Applied Stereo Computer Vision Techniques For Estimation Thementioning

confidence: 99%