Resource Type

Journal Article 315

Conference Videos 11

Conference Information 3

Year

2023 27

2022 34

2021 26

2020 31

2019 28

2018 19

2017 17

2016 15

2015 11

2014 7

2013 5

2012 4

2011 6

2010 5

2009 10

2008 14

2007 16

2006 13

2005 3

2004 8

open ︾

Keywords

processing 12

digital image correlation 7

Computer vision 6

Deep learning 6

computer simulation 6

computer 5

computer vision 4

Artificial intelligence 2

Brain-computer interface (BCI) 2

Compressive sensing 2

Dictionary learning 2

Ensemble learning 2

File system 2

Image segmentation 2

Natural language processing 2

aquaculture 2

artificial intelligence 2

big data 2

complex systems 2

open ︾

Search scope:

排序： Display mode:

Three-dimensional reconstruction of light microscopy image sections: present and future

Yuzhen Wang,Rui Xu,Gaoxing Luo,Jun Wu

Frontiers of Medicine 2015, Volume 9, Issue 1,   Pages 30-45 doi: 10.1007/s11684-014-0337-z

Abstract:

Three-dimensional (3D) image reconstruction technologies can reveal previously hidden microstructuresComputer technologies can produce 3D representations of interesting human tissue and organs that have

Keywords： microtomy     3D imaging     computer-assisted image processing     3D printing     tissue scaffold    

HTML PDF Collect

Synchronous observation of rising soluble bubble through quiescent solution

Yifu ZHANG , Shuai TIAN , Weizhong LI , Yongchen SONG ,

Frontiers in Energy 2009, Volume 3, Issue 3,   Pages 307-312 doi: 10.1007/s11708-009-0028-7

Abstract: An experimental method using computer image processing technology (CIPT) was proposed to observe andA series of trajectory videos about the bubble were recorded by a computer linked to the camera.

Keywords： soluble bubble     mass transfer     synchronous observation     computer image processing    

HTML PDF Collect

a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge Detection in ImageProcessing

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract: chaos immune evolutionary algorithm (CIEFCM) is presented to solve fuzzy edge detection problems in imageprocessing.

Keywords： disturbance amplitude     disturbance     diversity     generation     processing    

HTML PDF Collect

zone-layered trimming method for ceramic core of aero-engine blade based on an advanced reconfigurable laser processing

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0675-5

Abstract: This paper proposes an ultrafast laser processing system for trimming complex ceramic structural partsOpto-electromechanical cooperative control software is developed to control the laser processing systemis introduced based on the iterative closest point algorithm to register the path extracted from the computer-aidedA zonal and layering processing method for three-dimensional contours on complex surfaces is proposedto generate the working data of high-speed scanning galvanometer and the computer numerical control

Keywords： ceramic parts trimming     computer-aided laser manufacturing     3D vision     reconfigurable laser processing    

HTML PDF Collect

Dynamic modeling and damage analysis of debris cloud fragments produced by hypervelocity impacts via imageprocessing Research Article

Ru ZENG, Yan SONG, Weizhen LV,zengru_neo@163.com,sonya@usst.edu.cn,hala_lwz@163.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 555-570 doi: 10.1631/FITEE.2100049

Abstract: Based on the extracted information, image matching of debris is conducted and the trajectory of is modeled

Keywords： Debris clouds     Hypervelocity impact     Image processing     Damage estimation    

HTML PDF Collect

Automatic image enhancement by learning adaptive patch selection None

Na LI, Jian ZHAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 206-221 doi: 10.1631/FITEE.1700125

Abstract: Many existing image enhancement algorithms are patch based and the patch size is always fixed throughoutthe image.In this study, we propose an automatic image enhancement method based on adaptive patch selection usingExperimental results demonstrate that our method can provide a significant improvement in existing patch-based image

Keywords： Image enhancement     Contrast enhancement     Dark channel     Bright channel     Adaptive patch based processing    

HTML PDF Collect

Research of Lossless Image Compression Base on Level-scalability

Li Luwei,Zhou Shuoyan,Cai Yiyu

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 33-37

Abstract:

A level-embedded lossless image compression method for continuous-tone still images is presented.Level (bit-plane) scalability is achieved by separating the image into two layers (the base layer andA comparison of the proposed scheme with a number of scalable and non-scalable lossless image compression

Keywords： data processing techniques     lossless image compression     context-based model     embedded level    

HTML PDF Collect

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    

HTML PDF Collect

Feature extraction of hyperspectral images for detecting immature green citrus fruit

Yongjun DING, Won Suk LEE, Minzan LI

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 475-484 doi: 10.15302/J-FASE-2018241

Abstract: wavebands and to construct multispectral images from the original hyperspectral images for further processingThen, histogram threshold segmentation using NDVI of 804 and 677 nm was implemented to remove image

Keywords： hyperspectral     green citrus     image processing     fruit detection     precision agriculture     yield mapping    

HTML PDF Collect

Real-time Gaze Tracking System Based on Dual Illuminators

Huang Ying,Wang Zhiliang,Qi Ying

Strategic Study of CAE 2008, Volume 10, Issue 2,   Pages 86-90

Abstract: A fast pupil detection algorithm was proposed to speed up the image processing, and a simple model wasA human- computer interaction application proves that the system can estimate the user's gaze direction

Keywords： human-computer interaction     gaze tracking     Purkinje image    

HTML PDF Collect

Chitosan/polyethylene glycol impregnated activated carbons: Synthesis, characterization and adsorption performance

Ehsan Salehi, Fereshteh Soroush, Maryam Momeni, Aboulfazl Barati, Ali Khakpour

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 4,   Pages 575-585 doi: 10.1007/s11705-017-1650-2

Abstract: Novel modified activated carbons (ACs) with enhanced adsorptive properties were obtained coating by chitosan (CS), polyethylene glycol (PEG) and blends of the two polymers (0:1, 1:0, 1:1, 1:2 and 2:1 wt/wt) on ACs by an impregnation technique. The adsorption performances of the pristine, acidified and polymer-impregnated ACs were studied using methylene blue as a model adsorbate. The adsorbents were characterized using Fourier transform infrared spectroscopy, scanning electron microscopy and abrasion hardness tests. The average coating thicknesses were between 10 to 23 microns. The pore sizes, pore densities and pore capacities of the activated carbons increased as the wt-% PEG in the coating increased. The highest adsorption capacity (424.7 mg/g) was obtained for the chitosan-coated ACs and this adsorption was well described by the Langmuir isotherm model. The kinetic results were best described by the pseudo-second-order kinetic model. The highest rate constant was obtained with the ACs modified with the CS:PEG (2:1) coating and this result was almost 2.6 times greater than that of the unmodified ACs. The CS/PEG impregnated ACs also displayed superior hardness (~90%), compared to unmodified ACs (~85%). Overall the chitosan had a greater effect on improving adsorption capacity whereas the polyethylene glycol enhanced the adsorption rate.

Keywords： carbon biocomposites     impregnation     chitosan     polyethylene glycol     image processing    

HTML PDF Collect

Light field imaging for computer vision: a survey Review Article

Chen JIA, Fan SHI, Meng ZHAO, Shengyong CHEN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1077-1097 doi: 10.1631/FITEE.2100180

Abstract: LF imaging technology improves the accuracy of depth estimation, image segmentation, blending, fusionestablishment and evaluation of the LF dataset, applications under high dynamic range (HDR) conditions, LF imageenhancement, virtual reality, 3D display, and 3D movies, military optical camouflage technology, imagerecognition at micro-scale, image processing method based on HDR, and the optimal relationship between

Keywords： Light field imaging     Camera array     Microlens array     Epipolar plane image     Computer vision    

HTML PDF Collect

The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Review

Yue Hou, Qiuhan Li, Chen Zhang, Guoyang Lu, Zhoujing Ye, Yihan Chen, Linbing Wang, Dandan Cao

Engineering 2021, Volume 7, Issue 6,   Pages 845-856 doi: 10.1016/j.eng.2020.07.030

Abstract: employed for the collection and analysis of such data, including various intrusive sensing techniques, imageprocessing techniques, and machine learning methods.

Keywords： Pavement monitoring and analysis     The state-of-the-art review     Intrusive sensing     Image processing techniques    

HTML PDF Collect

A study on fatigue damage of asphalt mixture under different compaction using 3D-microstructural characteristics

Jing HU, Pengfei LIU, Bernhard STEINAUER

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 3,   Pages 329-337 doi: 10.1007/s11709-017-0407-9

Abstract: The aggregate particles and air-voids were extracted using Digital Image Processing (DIP), so the relationship

Keywords： asphalt mixture     microstructure     morphology     digital image processing     fatigue damage    

HTML PDF Collect

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:

Liquid leakage from pipelines is a critical issue in large-scale process plants. Damage in pipelines affects the normal operation of the plant and increases maintenance costs. Furthermore, it causes unsafe and hazardous situations for operators. Therefore, the detection and localization of leakages is a crucial task for maintenance and condition monitoring. Recently, the use of infrared (IR) cameras was found to be a promising approach for leakage detection in large-scale plants. IR cameras can capture leaking liquid if it has a higher (or lower) temperature than its surroundings. In this paper, a method based on IR video data and machine vision techniques is proposed to detect and localize liquid leakages in a chemical process plant. Since the proposed method is a vision-based method and does not consider the physical properties of the leaking liquid, it is applicable for any type of liquid leakage (i.e., water, oil, etc.). In this method, subsequent frames are subtracted and divided into blocks. Then, principle component analysis is performed in each block to extract features from the blocks. All subtracted frames within the blocks are individually transferred to feature vectors, which are used as a basis for classifying the blocks. The k-nearest neighbor algorithm is used to classify the blocks as normal (without leakage) or anomalous (with leakage). Finally, the positions of the leakages are determined in each anomalous block. In order to evaluate the approach, two datasets with two different formats, consisting of video footage of a laboratory demonstrator plant captured by an IR camera, are considered. The results show that the proposed method is a promising approach to detect and localize leakages from pipelines using IR videos. The proposed method has high accuracy and a reasonable detection time for leakage detection. The possibility of extending the proposed method to a real industrial plant and the limitations of this method are discussed at the end.

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

HTML PDF Collect

Title Author Date Type Operation

Three-dimensional reconstruction of light microscopy image sections: present and future

Yuzhen Wang,Rui Xu,Gaoxing Luo,Jun Wu

Journal Article

Synchronous observation of rising soluble bubble through quiescent solution

Yifu ZHANG , Shuai TIAN , Weizhong LI , Yongchen SONG ,

Journal Article

a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge Detection in ImageProcessing

Journal Article

zone-layered trimming method for ceramic core of aero-engine blade based on an advanced reconfigurable laser processing

Journal Article

Dynamic modeling and damage analysis of debris cloud fragments produced by hypervelocity impacts via imageprocessing

Ru ZENG, Yan SONG, Weizhen LV,zengru_neo@163.com,sonya@usst.edu.cn,hala_lwz@163.com

Journal Article

Automatic image enhancement by learning adaptive patch selection

Na LI, Jian ZHAN

Journal Article

Research of Lossless Image Compression Base on Level-scalability

Li Luwei,Zhou Shuoyan,Cai Yiyu

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

Feature extraction of hyperspectral images for detecting immature green citrus fruit

Yongjun DING, Won Suk LEE, Minzan LI

Journal Article

Real-time Gaze Tracking System Based on Dual Illuminators

Huang Ying,Wang Zhiliang,Qi Ying

Journal Article

Chitosan/polyethylene glycol impregnated activated carbons: Synthesis, characterization and adsorption performance

Ehsan Salehi, Fereshteh Soroush, Maryam Momeni, Aboulfazl Barati, Ali Khakpour

Journal Article

Light field imaging for computer vision: a survey

Chen JIA, Fan SHI, Meng ZHAO, Shengyong CHEN

Journal Article

The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine

Yue Hou, Qiuhan Li, Chen Zhang, Guoyang Lu, Zhoujing Ye, Yihan Chen, Linbing Wang, Dandan Cao

Journal Article

A study on fatigue damage of asphalt mixture under different compaction using 3D-microstructural characteristics

Jing HU, Pengfei LIU, Bernhard STEINAUER

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