Registration of Partially Focused Images for 2D and 3D Reconstruction of Oversized Samples

Martišek, Dalibor; Druckmüllerová, Hana

doi:10.1155/2017/8538215

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…Proposed method Shape from Focus (SfF) recovers the 3D profile of the arbitrary surface from the set of partially focused images. The process starts with image registration based on cross correlation [20] where we detect the transformations (translation, rotation, scaling) between images.…”

Section: Methods Shape From Focusmentioning

confidence: 99%

The Analysis of Rock Surface Asperities

Martišek¹,

Procházková²

2018

mendel

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The analysis of rock surface is commonly used in technical practice. The nature discontinuity rocks are often represented by specific degree of roughness. This value has the significant effect on the rock slope stability. It is defined by the asperities and the computation is based on the visual comparison of discontinuity traces or discontinuity surfaces with standard two-dimensional graphs. The visual comparison is a subjective method, so that we propose novel method for roughness-angles analysis. Our method consists of the application of cosine Fourier series. We tested the method on the sample of limestone. The article also describes the method Surface from Focus that reconstruct the 3D surface from a set of partially focused images.

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Section: Methods Shape From Focusmentioning

confidence: 99%

The Analysis of Rock Surface Asperities

Martišek¹,

Procházková²

2018

mendel

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“…All processing and visualization of these data have been made by original author's software. For more information of these reconstructions and visualizations see [33] [34] [35] [36]. In this section, limestone surfaces in Figure 12 have been used for testing.…”

Section: Estimation Of the Jrc Index Of Real Samplesmentioning

confidence: 99%

Joint Rock Coefficient Estimation Based on Hausdorff Dimension

Martišek¹

2017

APM

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The strength of rock structures strongly depends inter alia on surface irregularities of rock joints. These irregularities are characterized by a coefficient of joint roughness. For its estimation, visual comparison is often used. This is rather a subjective method, therefore, fully computerized image recognition procedures were proposed. However, many of them contain imperfections, some of them even mathematical nonsenses and their application can be very dangerous in technical practice. In this paper, we recommend mathematically correct method of fully automatic estimation of the joint roughness coefficient. This method requires only the Barton profiles as a standard.

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“…The description of surface roughness depends on the development of various instrument technologies [ 35 ]. Current surface morphology detection technologies include the focused ion beam [ 36 ], X-ray computed tomography [ 37 ], scanning electron microscopy [ 38 , 39 , 40 ], and confocal microscopy [ 38 , 41 , 42 ]. Valikhani [ 43 ] evaluated the roughness of the substrate surface by using two non-contact test methods: terrestrial laser scanning and digital image processing and correlated the roughness with the bond strength between NC and UHPC.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Bond Performance of NC-UHPC Interfaces with Different Roughness and Substrate Strength

Zhang

Chen

et al. 2023

Materials

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This paper investigates the bond failure performance between precast normal concrete (NC) and cast-in situ ultra-high performance concrete (UHPC), emphasizing the influence of interfacial roughness. The interfacial bonding behavior under tension and under shear was investigated based on 72 groups of pull-off tests and 36 groups of bi-shear tests, considering six different interface treatment methods and two different NC strength levels. The results demonstrate that certain interfacial roughness is essential to gain a reliable bond connection between NC and UHPC. Its enhancement on the tensile bond performance could be described by the positive linear relationship between the mean roughness and the pull-off strength. However, further research is required to determine the characterization method of its influence on the shear bond performance. The higher strength of the base concrete is beneficial to the bond performance. Though this effect is evident in the pull-off tests under tension, the influence on the shear interfacial performance could be offset by that of the interface morphology in the case with high interfacial roughness.

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Registration of Partially Focused Images for 2D and 3D Reconstruction of Oversized Samples

Cited by 5 publications

References 14 publications

The Analysis of Rock Surface Asperities

The Analysis of Rock Surface Asperities

Joint Rock Coefficient Estimation Based on Hausdorff Dimension

Experimental Study on Bond Performance of NC-UHPC Interfaces with Different Roughness and Substrate Strength

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