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Automatic malware classification and new malwaredetection using machine learning Article

Liu LIU, Bao-sheng WANG, Bo YU, Qiu-xi ZHONG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9, Pages 1336-1347 doi: 10.1631/FITEE.1601325

Abstract: The data processing module deals with gray-scale images,Opcode n-gram, and import functions, which are

Keywords： Malware classification Machine learning n-gram Gray-scale image Feature extraction Malware detection

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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: date has mainly focused on the detection of above-water-level cracks and hasn’t considered the large scaleIn 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 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 imageConsidering the local features of each image in the reference database as a separate class, linear discriminant

Keywords： Content-based image retrieval Feature point distribution Image registration Linear discriminant analysis Remote sensing Scale-invariant feature transform

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Three-scale stochastic homogenization of elastic recycled aggregate concrete based on nano-indentation

Chen WANG, Yuching WU, Jianzhuang XIAO

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4, Pages 461-473 doi: 10.1007/s11709-017-0441-7

Abstract: In this paper, three-scale stochastic elastic finite element analyses are made for recycled aggregate

Keywords： RAC nano-indentation digital image multiscale microscopic randomness homogenization

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Vibration-based hypervelocity impact identification and localization Research Article

Jiao BAO, Lifu LIU, Jiuwen CAO,jwcao@hdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4, Pages 515-529 doi: 10.1631/FITEE.2000483

Abstract: The extracted SST and TCD image features are fused for HVI image representation.

Keywords： Ensemble learning Synchrosqueezied transform Gray-level co-occurrence matrix Image entropy Distance

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Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12, Pages 1069-1087 doi: 10.1631/FITEE.1400423

Abstract: However, single-scale trained dictionary directly from image patches is incapable of representing imagefeatures from multi-scale, multi-directional perspective, which influences the reconstruction performanceIn this paper, incorporating the superior multi-scale properties of uniform discrete curvelet transformC-SALSA) as patch-based C-SALSA (PB C-SALSA) to solve the constraint optimization problem of regularized imageMulti-scale UDCT dictionaries potentially outperform both single-scale trained dictionaries and multi-scale

Keywords： Compressed sensing (CS) Magnetic resonance imaging (MRI) Uniform discrete curvelet transform (UDCT) Multi-scale

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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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The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Strategic Study of CAE 2003, Volume 5, Issue 4, Pages 61-64

Abstract:

Edges as the main characterization of image vision have been throught as the main content in obtainingimage information.information using multiscale character, so it is taken as the excellent tool to detect the edges of the imageThis paper analyzes the basic theory using two dimensions wavelet to detect image edges on the basisof wavelet transform and then designs the detecting algorithm of the multi-scale edge matching.

Keywords： wavelet transform multi-scale edges detection

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The Gray Evaluation of Road Traffic Safety Based on Trigonometry Whitening Weight (TWW) Function

Guo Yi,Zhou Qinglei,Huang Jingbao

Strategic Study of CAE 2006, Volume 8, Issue 3, Pages 87-90

Abstract:

Based on the researches of evaluation methods about road traffic safety in China and abroad, the gray

Keywords： road traffic safety gray evaluation TWW function

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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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Image-Aided Analysis of Ballast Particle Movement Along a High-Speed Railway Article

Xuecheng Bian, Wenqing Cai, Zheng Luo, Chuang Zhao, Yunmin Chen

Engineering 2023, Volume 27, Issue 8, Pages 161-177 doi: 10.1016/j.eng.2022.08.006

Abstract: In this study, an image-aided technique was developed in a full-scale model test using digital cameras

Keywords： High-speed railway Full-scale model test Image-aided technique Ballast particle movement Track vibration

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Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and gray

Xiao-ping BAI,Ya-nan LIU

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4, Pages 462-471 doi: 10.1007/s11709-016-0361-y

Abstract: of analysis of the four quality influence factors in the construction engineering, a method based on gray

Keywords： civil engineering dynamic reliability grey relational degree adaptive simulated annealing algorithm

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Large Scale Scanning Probe Microscope

Lu Xiaobo,Lu Zuhong,Zhou Qing,Wang Guozhu

Strategic Study of CAE 2004, Volume 6, Issue 9, Pages 50-55

Abstract:

This paper introduces a type of large scale scanning probe microscope, which adopts the scheme ofthe separation of large scale scanning from high precise scanning, and the separation of X - Y scanningThe instrument has the advantages such as good repeatability, large scanning scale as well as high resolutionThe large scale scanning range is 220 mm × 290 mm × 60 mm and the repeatability is 2～3/&muauto-feeding of the probe, the auto-focusing of the optical microscope and the auto-mosaicking of the scanning image

Keywords： scanning probe microscope auto-feeding auto-focusing image mosaicking

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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)