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Assessment of fracture process in forta and polypropylene fiber-reinforced concrete using experimental analysisand digital image correlation

Seyed Hamid KALALI; Hamid ESKANDARI-NADDAF; Seyed Ali EMAMIAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   Pages 1633-1652 doi: 10.1007/s11709-022-0876-3

Abstract: Polypropylene (PP) fiber-reinforced concrete under the uniaxial compressive loading using experimental analysisand digital image correlation (DIC) on the surface displacement.

Keywords： fiber-reinforced concrete     forta-ferro and polypropylene fiber     fracture process     cracking behavior     digital image    

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15th International Congress for Stereology and Image Analysis 第十五届国际体视学与图像分析学术会议

Conference Date: 27 May 2019

Conference Place: 丹麦/奥胡斯

Administered by: 国际体视学与图像分析学会(ISSIA)

Deep learning in digital pathology image analysis: a survey

Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 470-487 doi: 10.1007/s11684-020-0782-9

Abstract: deep learning (DL) has achieved state-of-the-art performance in many digital pathology analysis tasksIn this paper, we comprehensively summarize recent DL-based image analysis studies in histopathology,instance segmentation) and various applications (e.g., stain normalization, cell/gland/region structure analysis

Keywords： pathology     deep learning     segmentation     detection     classification    

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Image analysis of soil failure on defective underground pipe due to cyclic water supply and drainage

Toshifumi MUKUNOKI, Naoko KUMANO, Jun OTANI

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 2,   Pages 85-100 doi: 10.1007/s11709-012-0159-5

Abstract: The ground subsidence on the underground pipe often is caused with the reduction of the effective stress and the loss of suction in the base course and then, soil drainage into the pipe. The final formation of the cavity growth in the ground was observed as the ground subsidence. Authors focused this problem and hence performed model tests with water-inflow and drainage cycle in the model ground. The mechanism of cavity generation in the model ground was observed using an X-ray Computed Tomography (CT) scanner. In those studies, water was supplied into the model grounds from the defected underground pipe model in case of the change of relative density and grain size distribution. As results, it was observed that the loosening area was generated from the defected part with water-inflow and some of the soil particles in the ground were drained into the underground pipe through the defected part. And afterward, the cavity was generated just above the defected part of the model pipe in the ground. Based on this observation, it might be said that the bulk density of soil around the defected pipe played one of key factor to generate the cavity in the ground. Moreover, the dimension of the defected part should be related to the magnification of the ground subsidence, in particular, crack width on a sewerage pipe and particle size would be the quantitative factor to evaluate the magnification of the ground subsidence. ?In this paper, it was concluded that the low relative density of soil would become the critical factor to cause the fatal failure of model ground if the maximum grain size was close to the dimension of crack width of defective part. The fatal collapse of the ground with high relative density more than 80% would be avoided in a few cycles of water inflow and soil drainage.

Keywords： relative density     grain property     model test     road subsidence     underground pipe     image processing     X-ray CT    

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Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: In this paper, we propose a turbidity-adaptive underwater image enhancement method.Based on the detection result, different image enhancement strategies are designed to deal with the problemThe proposed method is verified by an underwater image dataset captured in real underwater environmentThe result is evaluated by image metrics including structure similarity index measure, underwater colorimage quality evaluation metric, and speeded-up robust features.

Keywords： turbidity     underwater image enhancement     image fusion     underwater robots     visibility    

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Detection of Huanglongbing (citrus greening) based on hyperspectral image analysis and PCR

Kejian WANG, Dongmei GUO, Yao ZHANG, Lie DENG, Rangjin XIE, Qiang LV, Shilai YI, Yongqiang ZHENG, Yanyan MA, Shaolan HE

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 2,   Pages 172-180 doi: 10.15302/J-FASE-2019256

Abstract: and the HLB PCR-positive leaves could be distinguished from the healthy by the hyperspectral modeling analysis

Keywords： citrus     HLB     hyperspectral     identification     PCR    

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Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationBy compositing the gradient of each image, gradient-based weights are obtained, with which compressiveFinally, inverse transformation is applied to the coefficients derived from fusion, and the fused imageIn addition, different image fusion application scenarios are applied to explore the scenario adaptability

Keywords： Compressive sensing (CS)     Image fusion     Gradient-based image fusion     CS-based image fusion    

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Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 77-82 doi: 10.1007/s11465-009-0013-1

Abstract: An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paper, where the shrinkage of a steel plate is measured when temperature drops. First, images are picked up by an imaging system; a method of regional edge detection based on grayscales’ sudden change is then applied to detect the edges of the steel plate; finally, pixel coordinates of the edge position are transformed to physical coordinates through calibration parameters. The experiment shows that the real-time, high precision, and non-contact measurement of the steel plate’s edge position under high temperature can be realized using the imaging measurement method established in this paper.

Keywords： thermal expansion     image measurement     edge detection     image calibration    

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Fast uniform content-based satellite image registration using the scale-invariant feature transform descriptor Article

Hamed BOZORGI, Ali JAFARI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1108-1116 doi: 10.1631/FITEE.1500295

Abstract: Content-based satellite image registration is a difficult issue in the fields of remote sensing and imageThe scale-invariant feature transform (SIFT) algorithm has been used successfully in satellite imageAlso, many researchers have applied a local SIFT descriptor to improve the image retrieval process.storage requirements for saving the relevant information, which are important factors in content-based imageanalysis (LDA) is used to transform the local features to global features while reducing dimensionality

Keywords： Content-based image retrieval     Feature point distribution     Image registration     Linear discriminant analysis    

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Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques Reiew

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Engineering 2021, Volume 7, Issue 6,   Pages 758-776 doi: 10.1016/j.eng.2020.08.026

Abstract: Then, principle component analysis is performed in each block to extract features from the blocks.

Keywords： Leakage detection and localization     Image analysis     Image pre-processing     Principle component analysis    

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Image-based fall detection and classification of a user with a walking support system

Sajjad TAGHVAEI, Kazuhiro KOSUGE

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 427-441 doi: 10.1007/s11465-017-0465-7

Abstract: This study investigates an image-based classification of the human state while using a walking supportmethod can be implemented to other abnormality detection/classification applications that employ depth image-sensing

Keywords： fall detection     walking support     hidden Markov model     multivariate analysis    

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Quantification of coarse aggregate shape in concrete

Xianglin GU,Yvonne TRAN,Li HONG

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 308-321 doi: 10.1007/s11709-014-0266-6

Abstract: based on these established parameters, 200 coarse quartzite aggregates are analyzed herein by using image

Keywords： coarse aggregate     form     angularity     digital image analysis     statistical distribution     splitting tensile strength    

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Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 829-837 doi: 10.1631/FITEE.1500045

Abstract: Geometric changes present a number of difficulties in deformable image registration.developed an innovative model which significantly reduces the side effects of geometric changes in imageWe show that the transformation estimated from our model is able to reconstruct the target image with

Keywords： Geometric changes     Image registration     Sparsity     Traumatic brain injury (TBI)    

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A building unit decomposition model for energy leakage by infrared thermography image analysis

Yan SU, Fangjun HONG, Lianjie SHU

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 901-921 doi: 10.1007/s11708-020-0679-y

Abstract: A quantitative energy leakage model was developed based on the thermography image data measured for bothpresent decomposition model for energy leakage is expected to provide a practical tool for quantitative analysis

Keywords： heat conductivity     heat coefficient     heat &fllig     ux     infrared thermography     thermal image    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: The digital image correlation (DIC) technology was utilized to collect vibration information of an actual

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Title Author Date Type Operation

Assessment of fracture process in forta and polypropylene fiber-reinforced concrete using experimental analysisand digital image correlation

Seyed Hamid KALALI; Hamid ESKANDARI-NADDAF; Seyed Ali EMAMIAN

Journal Article

15th International Congress for Stereology and Image Analysis 第十五届国际体视学与图像分析学术会议

27 May 2019

Conference Information

Deep learning in digital pathology image analysis: a survey

Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

Journal Article

Image analysis of soil failure on defective underground pipe due to cyclic water supply and drainage

Toshifumi MUKUNOKI, Naoko KUMANO, Jun OTANI

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

Detection of Huanglongbing (citrus greening) based on hyperspectral image analysis and PCR

Kejian WANG, Dongmei GUO, Yao ZHANG, Lie DENG, Rangjin XIE, Qiang LV, Shilai YI, Yongqiang ZHENG, Yanyan MA, Shaolan HE

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Journal Article

Fast uniform content-based satellite image registration using the scale-invariant feature transform descriptor

Hamed BOZORGI, Ali JAFARI

Journal Article

Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Journal Article

Image-based fall detection and classification of a user with a walking support system

Sajjad TAGHVAEI, Kazuhiro KOSUGE

Journal Article

Quantification of coarse aggregate shape in concrete

Xianglin GU,Yvonne TRAN,Li HONG

Journal Article

Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Journal Article

A building unit decomposition model for energy leakage by infrared thermography image analysis

Yan SU, Fangjun HONG, Lianjie SHU

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article