Mirror-assisted Multi-view Digital Image Correlation with Improved Spatial Resolution

Chen, B.; Zhao, Jun; Pan, Bin

doi:10.1007/s11340-019-00563-7

Cited by 22 publications

(11 citation statements)

References 30 publications

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“…In future studies, mirror-assisted multi-view DIC 40 or digital volume correlation (DVC) 41 can be included in this protocol to obtain additional information on the volumetric, subsurface strains.…”

Section: Discussionmentioning

confidence: 99%

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue

Crielaard¹,

Torun²,

Wissing³

et al. 2022

JoVE

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The rupture of atherosclerotic plaques in coronary and carotid arteries is the primary cause of fatal cardiovascular events. However, the rupture mechanics of the heterogeneous, highly collagenous plaque tissue, and how this is related to the tissue's fibrous structure, are not known yet. Existing pipelines to study plaque mechanics are limited to obtaining only gross mechanical characteristics of the plaque tissue, based on the assumption of structural homogeneity of the tissue. However, fibrous plaque tissue is structurally heterogeneous, arguably mainly due to local variation in the collagen fiber architecture.The mechano-imaging pipeline described here has been developed to study the heterogeneous structural and mechanical plaque properties. In this pipeline, the tissue's local collagen architecture is characterized using multiphoton microscopy (MPM) with second-harmonic generation (SHG), and the tissue's failure behavior is characterized under uniaxial tensile testing conditions using digital image correlation (DIC) analysis. This experimental pipeline enables correlation of the local predominant angle and dispersion of collagen fiber orientation, the rupture behavior, and the strain fingerprints of the fibrous plaque tissue. The obtained knowledge is key to better understand, predict, and prevent atherosclerotic plaque rupture events.

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Section: Discussionmentioning

confidence: 99%

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue

Crielaard¹,

Torun²,

Wissing³

et al. 2022

JoVE

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“…Because of its low price, convenient operation, and certain perceptual communication capabilities [36,37], the sensor can provide intrusion detection and border inspection functions. e control of the orchestrator realizes the orchestration and deployment of different VNFs according to the SFC deployment request to form different virtualized indoor baseband processing units and access to appropriate virtualized remote radio frequency units to meet different user service requests [38,39]. On the other hand, compared with traditional networks, WSN has several resource constraints, including but not limited to limited node energy, limited communication range, low bandwidth, and limited computing power of nodes [40][41][42].…”

Section: Internet Of Ings and 5gmentioning

confidence: 99%

Public Information Dissemination Using Data Mining-Enabled Image Enhancement and Internet of Things

Zhuang

Zhou

2021

Mobile Information Systems

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With the development of the Internet of Things, the requirement of a wide range of human-centered services may now make use of as many computing resources for media technologies and holographic images. The IoT system can monitor the status of equipment in real-time with a robust infrared image recognition algorithm. However, few researchers discuss data mining on images with valuable information. In this study, we present a generic approach that is based on the mining decision tree and holographic image improvement data analysis. We employed advanced data mining techniques to achieve image stability and use light to form a three-dimensional image with real space. The suggested model improves digital image signal transmission and noise through the grey neural network technique and, furthermore, utilization decision tree induction to create attributes-to-target label relations from image pixels. The experimental results show that the suggested approach may be highly efficient and effective for interactive image systems and image mining. Our approach may also be widely utilized and includes extremely efficient convergence systems for essential framework elements.

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“…Existing MV-DIC techniques roughly fall into four types: 'chain configuration' MV-DIC [4,6], 'stereo-rig configuration' MV-DIC [7,8], 'pseudo' MV-DIC [9,10] and mirrorassisted MV-DIC [15][16][17][18]. Among these techniques, mirrorassisted MV-DIC recently proposed by the present authors is one of the most easy-to-implement and cost-efficient ways for measuring 360 • panoramic/dual-surface kinematic fields of bar/sheet samples [15][16][17][18]. The mirror-assisted MV-DIC system consists of only a regular two-camera stereo-DIC system and two planar reflective mirrors.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, except for the challenging task of sharply imaging the speckle pattern on the mirror, the image of the speckle pattern created on the mirror will inevitably occupy a part of the camera sensor, which could otherwise be used to improve measurement precision. The second approach [18], inspired by the work in [22,23], determines the reflection transformation by measuring a fixed sample through the mirror being adjusted to three or more diverse poses. Since it is unnecessary to decorate speckle patterns on the mirrors, the full camera sensor can be used to image and measure the test sample in this method, which further permits DIC measurements with higher spatial resolution and precision.…”

Section: Introductionmentioning

confidence: 99%

Calibrating mirror-assisted multi-view digital image correlation system using a speckled planar object

Chen

Pan

2020

Meas. Sci. Technol.

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Recently, a novel low-cost and easy-to-implement mirror-assisted multi-view digital image correlation (MV-DIC) technique that uses only a vertically arranged binocular stereo-digital image correlation (stereo-DIC) system and two planar mirrors was proposed for panoramic/dual-surface kinematic field measurements. The mirror-assisted MV-DIC, which is equivalent to a regular MV-DIC system comprising three/two identical stereo-DIC systems, can simultaneously measure three/two different regions of a test sample. To perform panoramic/dual-surface kinematic field measurements with this technique, one of the most important procedures is accurately calibrating the reflection transformation of each mirror to transform all measured regions to a common world coordinate system. Previous works calibrate the reflection transformation by decorating speckle patterns on the mirrors or adjusting the mirrors to various poses, which either occupies precious spatial resolution of the sensor or is complicated in implementation. In this work, an easy-to-implement and practical method that employs only a speckled planar object is proposed to calibrate the reflection transformation of the planar mirrors. The effectiveness and accuracy of the proposed method are well evaluated and validated. Compared with existing methods, the proposed method holds the advantage of being efficient in sensor utilization and simple in implementation and is therefore highly recommended for the practical use of the mirror-assisted MV-DIC technique.

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Mirror-assisted Multi-view Digital Image Correlation with Improved Spatial Resolution

Cited by 22 publications

References 30 publications

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue

Public Information Dissemination Using Data Mining-Enabled Image Enhancement and Internet of Things

Calibrating mirror-assisted multi-view digital image correlation system using a speckled planar object

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