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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 compressiveSimulation results demonstrate that the gradient-based scheme has the best performance, in terms of bothFurthermore, the gradient-based fusion scheme proposed in this paper can be applied in different fusion

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

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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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Compressive strength prediction and optimization design of sustainable concrete based on squirrel searchalgorithm-extreme gradient boosting technique

Frontiers of Structural and Civil Engineering   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: traditional compressive strength test, this study combines five novel metaheuristic algorithms with extreme gradientboosting (XGB) to predict the compressive strength of green concrete based on fly ash and blast furnaceThe results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm    

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Survey on Extraction Methods of Transition Region

Liu Suolan,Yang Jingyu

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 89-96

Abstract:

Image segmentation is treated as a key issue in image processing and Having the aid of extraction of transition region to segment image is a kind of burgeoning technology Two kinds of methods have been introduced: methods based on gradient and methods based on non-gradient

Keywords： transition region     extraction     image segmentation     gradient method     non-gradient method    

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Advances in polishing of internal structures on parts made by laser-based powder bed fusion

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0724-0

Abstract: Considering the manufacturing of inner structures, laser-based powder bed fusion (L-PBF) is an attractive

Keywords： laser-based powder bed fusion     polishing     internal structures     surface quality     surface features     post    

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Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets Research Articles

Xue-feng Zhang, Hui Yan, Hao He,zhangxuefeng@mail.neu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6,   Pages 809-962 doi: 10.1631/FITEE.1900737

Abstract: The original image is decomposed into a base layer and a detail layer.Furthermore, a new fractional-order spatial frequency is built to reflect the clarity of the image.The fractional-order spatial frequency is used as a rule for detail layers fusion, and are introducedExperimental results demonstrate that the proposed fusion method outperforms the state-of-the-art methods

Keywords： 像融合；分数阶导数；直觉模糊集；多聚焦图像    

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Multi-focus image fusion based on fully convolutional networks Research Articles

Rui Guo, Xuan-jing Shen, Xiao-yu Dong, Xiao-li Zhang,zhangxiaoli@jlu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900336

Abstract: A new training dataset for the proposed network is constructed based on dataset CIFAR-10.The image fusion algorithm using FD-FCN contains three steps: focus maps are obtained using FD-FCN, decisionmap generation occurs by applying a morphological process on the focus maps, and image fusion occursexperiments, and both subjective and objective assessments demonstrate the superiority of the proposed fusion

Keywords： 多焦距图像融合；全卷积网络；跳层；性能评估    

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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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Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure

Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI,Hyung-Jo JUNG

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 42-47 doi: 10.1007/s11709-014-0285-3

Abstract: Vibration-based damage detection has widely been researched to identify damages on a structure basedWidely spread methods are natural frequency-based, mode shape-based, and curvature mode shape-based methodsThe natural frequency-based methods are convenient but vulnerable to environmental temperature variationThis study proposes novelty of damage factor based on sensor fusion to exclude effect of temperature

Keywords： sensor fusion     damage detection     structural health monitoring    

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Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for EdgeDetection in Image Processing

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

Abstract:

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presentedto solve fuzzy edge detection problems in image processing.and exiguous edge but can evidently improve the searching efficiency of fuzzy clustering algorithm based

Keywords： disturbance amplitude     disturbance     diversity     generation     processing    

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A Method of Information Fusion Based on Rough Sets and Its Applications

Chen Shuangye,Zhang Weijing

Strategic Study of CAE 2006, Volume 8, Issue 12,   Pages 75-79

Abstract:

A method of multi-sensor information fusion based on rough sets and fuzzy logic is proposed in this

Keywords： information fusion     rough sets     fuzzy logic     rough-fuzzy model    

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Label fusion for segmentation via patch based on local weighted voting Article

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 680-688 doi: 10.1631/FITEE.1500457

Abstract: Label fusion is a powerful image segmentation strategy that is becoming increasingly popular in medicalIn this paper we propose a novel patch-based segmentation method combining a local weighted voting strategyFurther, we analyze the label fusion procedure concerning the image background and take the image backgroundthe accuracy of segmentations, we compare the results with those of other methods, including joint fusion, majority voting, local weighted voting, majority voting based on patch, and the widely used FreeSurfer

Keywords： Label fusion     Local weighted voting     Patch-based     Background analysis    

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Vibration analysis of nano-structure multilayered graphene sheets using modified strain gradient theory

Amir ALLAHBAKHSHI,Masih ALLAHBAKHSHI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 187-197 doi: 10.1007/s11465-015-0339-9

Abstract:

In this paper, for the first time, the modified strain gradient theory is used as a new size-dependentAfter obtaining the governing equations based on modified strain gradient theory via principle of minimum

Keywords： graphene     van der Waals (vdW) force     modi- fied strain gradient elasticity theory     size effect parameter    

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Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: In this paper, a large-scale underwater crack examination method is proposed based on image stitchingThe graph convolutional neural network (GCN) was used to segment the stitched image.higher than Fully convolutional networks (FCN), proving that GCN has great potential of application in imagesegmentation and underwater image processing.

Keywords： underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: An algorithm based on deep semantic segmentation called LC-DeepLab is proposed for detecting the trendsThe novel algorithm is based on the DeepLabv3+ network framework.Next, an efficient shallow feature fusion module that extracts crack features across pixels is designed

Keywords： tunnel engineering     crack segmentation     fast detection     DeepLabv3+     feature fusion     attention mechanism    

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Title Author Date Type Operation

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

Compressive strength prediction and optimization design of sustainable concrete based on squirrel searchalgorithm-extreme gradient boosting technique

Journal Article

Survey on Extraction Methods of Transition Region

Liu Suolan,Yang Jingyu

Journal Article

Advances in polishing of internal structures on parts made by laser-based powder bed fusion

Journal Article

Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets

Xue-feng Zhang, Hui Yan, Hao He,zhangxuefeng@mail.neu.edu.cn

Journal Article

Multi-focus image fusion based on fully convolutional networks

Rui Guo, Xuan-jing Shen, Xiao-yu Dong, Xiao-li Zhang,zhangxiaoli@jlu.edu.cn

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure

Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI,Hyung-Jo JUNG

Journal Article

Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for EdgeDetection in Image Processing

Journal Article

A Method of Information Fusion Based on Rough Sets and Its Applications

Chen Shuangye,Zhang Weijing

Journal Article

Label fusion for segmentation via patch based on local weighted voting

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Journal Article

Vibration analysis of nano-structure multilayered graphene sheets using modified strain gradient theory

Amir ALLAHBAKHSHI,Masih ALLAHBAKHSHI

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Journal Article

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Journal Article