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| 1 | Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring显示文摘Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure condition assessment. The ultimate goal of such a system is to automatically and robustly convert the image or video data into actionable information. This paper provides an overview of recent advances in computer vision techniques as they apply to the problem of civil infrastructure condition assessment. In particular, relevant research in the fields of computer vision, machine learning, and structural engineering is presented. The work reviewed is classified into two types: inspection applications and monitoring applications. The inspection applications reviewed include identifying context such as structural components, characterizing local and global visible damage, and detecting changes from a reference image. The monitoring applications discussed include static measurement of strain and displacement, as well as dynamic measurement of displacement for modal analysis. Subsequently, some of the key challenges that persist toward the goal of automated vision-based civil infrastructure and monitoring are presented. The paper concludes with ongoing work aimed at addressing some of these stated challenges. | Billie F. Spencer Jr. Vedhus Hoskere Yasutaka Narazaki | 2019 | Engineering2019，5，2： | 44 |
| 2 | Recognition of wood surface defects with near infrared spectroscopy and machine vision显示文摘To improve the accuracy in recognizing defects on wood surfaces,a method fusing near infrared spectroscopy(NIR)and machine vision was examined.Larix gmelinii was selected as the raw material,and the experiments focused on the ability of the model to sort defects into four types:live knots,dead knots,pinholes,and cracks.Sample images were taken using an industrial camera,and a morphological algorithm was applied to locate the position of the defects.A portable near infrared spectrometer(900–1800 nm)collected the spectra of these positions.In addition,principal component analysis was utilized on these variables from spectral information and principal component vectors were extracted as the inputs of the model.The results show that a back propagation neural network model exhibited better discrimination accuracy of 92.7%for the training set and 92.0%for the test set.The research reveals that the NIR fusing machine vision is a feasible tool for detecting defects on board surfaces. | Huiling Yu Yuliang Liang Hao Liang Yizhuo Zhang | 2019 | Journal of Forestry Research2019，30，6： | 16 |
| 3 | Stream-computing of High Accuracy On-board Real-time Cloud Detection for High Resolution Optical Satellite Imagery显示文摘This paper focuses on the time efficiency for machine vision and intelligent photogrammetry, especially high accuracy on-board real-time cloud detection method. With the development of technology, the data acquisition ability is growing continuously and the volume of raw data is increasing explosively. Meanwhile, because of the higher requirement of data accuracy, the computation load is also becoming heavier. This situation makes time efficiency extremely important. Moreover, the cloud cover rate of optical satellite imagery is up to approximately 50%, which is seriously restricting the applications of on-board intelligent photogrammetry services. To meet the on-board cloud detection requirements and offer valid input data to subsequent processing, this paper presents a stream-computing of high accuracy on-board real-time cloud detection solution which follows the “bottom-up” understanding strategy of machine vision and uses multiple embedded GPU with significant potential to be applied on-board. Without external memory, the data parallel pipeline system based on multiple processing modules of this solution could afford the “stream-in, processing, stream-out” real-time stream computing. In experiments, images of GF-2 satellite are used to validate the accuracy and performance of this approach, and the experimental results show that this solution could not only bring up cloud detection accuracy, but also match the on-board real-time processing requirements. | Mi WANG Zhiqi ZHANG Zhipeng DONG Shuying JIN Hongbo SU | 2019 | Journal of Geodesy and Geoinformation Science2019，2，2： | 7 |
| 4 | Splitting and Merging Based Multi-model Fitting for Point Cloud Segmentation显示文摘This paper deals with the massive point cloud segmentation processing technology on the basis of machine vision, which is the second essential factor for the intelligent data processing of three dimensional conformation in digital photogrammetry. In this paper, multi-model fitting method is used to segment the point cloud according to the spatial distribution and spatial geometric structure of point clouds by fitting the point cloud into different geometric primitives models. Because point cloud usually possesses large amount of 3D points, which are uneven distributed over various complex structures, this paper proposes a point cloud segmentation method based on multi-model fitting. Firstly, the pre-segmentation of point cloud is conducted by using the clustering method based on density distribution. And then the follow fitting and segmentation are carried out by using the multi-model fitting method based on split and merging. For the plane and the arc surface, this paper uses different fitting methods, and finally realizing the indoor dense point cloud segmentation. The experimental results show that this method can achieve the automatic segmentation of the point cloud without setting the number of models in advance. Compared with the existing point cloud segmentation methods, this method has obvious advantages in segmentation effect and time cost, and can achieve higher segmentation accuracy. After processed by method proposed in this paper, the point cloud even with large-scale and complex structures can often be segmented into 3D geometric elements with finer and accurate model parameters, which can give rise to an accurate 3D conformation. | Liangpei ZHANG Yun ZHANG Zhenzhong CHEN Peipei XIAO Bin LUO | 2019 | Journal of Geodesy and Geoinformation Science2019，2，2： | 5 |
| 5 | Smart Objects Identification System for Robotic Surveillance显示文摘Video surveillance is an active research topic in computer vision.In this paper,humans and cars identifcation technique suitable for real time video surveillance systems is presented.The technique we proposed includes background subtraction,foreground segmentation,shadow removal,feature extraction and classifcation.The feature extraction of the extracted foreground objects is done via a new set of afne moment invariants based on statistics method and these were used to identify human or car.When the partial occlusion occurs,although features of full body cannot be extracted,our proposed technique extracts the features of head shoulder.Our proposed technique can identify human by extracting the human head-shoulder up to 60%–70%occlusion.Thus,it has a better classifcation to solve the issue of the loss of property arising from human occluded easily in practical applications.The whole system works at approximately 16 29 fps and thus it is suitable for real-time applications.The accuracy for our proposed technique in identifying human is very good,which is 98.33%,while for cars identifcation,the accuracy is also good,which is 94.41%.The overall accuracy for our proposed technique in identifying human and car is at 98.04%.The experiment results show that this method is efective and has strong robustness. | Amir Akramin Shafie Azhar Bin Mohd Ibrahim Muhammad Mahbubur Rashid | 2014 | International Journal of Automation and computing2014，11，1： | 3 |
| 6 | 基于ModBus/Tcp协议和自定义协议的机器视觉智能终端的设计与实现显示文摘提出了一种基于WinCE、ModBus/Tcp协议和自定义协议的机器视觉智能终端的实现方案,解决了传统机器视觉系统应用中因为采用计算机而造成的不便。机器视觉智能终端体积小、便携性好、操作方便,非常适合在工业现场应用;机器视觉智能终端通过以太网、采用ModBus/Tcp协议和自定义协议与智能相机通信,最多可同时连接4个智能相机,相对于计算机价格低廉,宜于大规模应用。 | 郭鹏伟 冯伟 | 2010 | 计算机与数字工程2010，38，12： | 3 |
| 7 | Research of Vision Detection System on PCB显示文摘Machine vision is applied in defect detection system on PCB.The whole system structure and the principle of vision detection are introduced,while the detection method including image processing,detection and recognition algorithms are detailed. The simulation results demonstrate that through this method,four types of defects including short circuit,open circuit,protuber- ance and concavity on PCB circuit can be effectively inspected,located and recognized. | CHENG Songlin ZHOU Zude HU Wenjuan (School of Information Engineering,Wuhan University of Technology,Wuhan 430070,China | 2006 | 武汉理工大学学报2006，28，S2： | 2 |
| 8 | A Preliminary Study on the Theory of Polar Coordinates Digital Photogrammetry and the Coordinate System of Spatial Information显示文摘The development of new aeronautics and astronautics technologies has been constrained by strict mathematical rules for data processing among the diverse methods used to obtain spatial information.The acquisition of spatial information has been affected by various choices including the applied technologies(e.g.,push broom sensors),techniques(e.g.,zoom imaging),and equipment settings(e.g.,swing angle,aerial platform attitude,camera angle)in terms of the convergence,efficiency,and accuracy of the data.Based on the principle of the bionic machine parallax angle and pyramidal projection of the aerial space platform to the surface,this study explored solutions for high-resolution image sparsity,ill-conditioned singularity,and non-convergence by building a set of mathematical models to process the polar coordinates of the parallax angular vector.This study also formed a polar information theory for initial spatial information.This method improved the ranges of accuracy,efficiency,and anti-interference in close-range photogrammetry and the free net bundle adjustment model by several orders of magnitude.The open source code was made globally available more than 3 years ago,and has received positive reactions.The method’s effectiveness was verified using aerophotogrammetry and absolute network adjustment model experiments,and its performance was better than that of the Cartesian coordinate processing method.Finally,the higher-order solution characteristics of various applications and spaceflight platforms were provided,which are expected to provide a foundation for construction of a new polar coordinate system for aerospace multi-scale all-attitude spatial information acquisition,organization,management,storage,processing,and application. | Lei YAN Ruihua ZHANG Yanbiao SUN | 2018 | Journal of Geodesy and Geoinformation Science2018，1，1： | 2 |
| 9 | Automatic Quality Inspection of Bakery Products Based on Shape and Color Information显示文摘An automatic intelligent system for the colour and texture inspection of bakery products is proposed.In this system,advance classification technique featuring Support Vector Machine and biologically inspired HMAX based shape descriptor integrated with biologically plausible RGB Opponent-Colour-Channel Descriptor is used to classify bakery products to their respective classes based on the shape and based on their colour referring to different baking durations. The results of this paper are compared with other methods for the automatic bakery products inspection. It is discovered that biologically inspired computer vision models performs accurately and efficiently as compared to the computer vision models which are not biologically plausible,in the bakery products quality inspection. It is also discovered that the One Versus One SVM and Directed Acyclic Graph SVM acquired the maximum accurate classification rate. The proposed method acquired classification accuracy of 95% and 100% for the biscuit shape and biscuit colour recognition,respectively. The proposed method is also consistently stable and invariant. This shows that the biologically inspired computer vision models have the capability to replace existing inspection methods as more reliable and accurate alternative. | Babar Khan Fang Han Zhijie Wang Ather Iqbal | 2017 | Journal of Harbin Institute of Technology(New Series)2017，24，5： | 2 |
| 10 | Robotic system for adding tundish-covering flux based on machine vision显示文摘Tundish-covering flux bags can be depalletized and moved in the steel casting region using industrial robots and monocular vision simultaneously.An industrial robot mounted with a flexible vacuum sucker was used as the executor.For a structured bag model,a visual scheme based on the support vector machine and the histogram of oriented gradients was adopted.The computer was trained using a number of sample bag images that relied on the feature recognition algorithm.Finally,the automatic stacking and moving of the flux bags were realized. | WEI Zhenhong WU Ruimin WANG Yunqing | 2019 | Baosteel Technical Research2019，13，3： | 1 |
| 11 | A Fast RLE-based Reconstruction Technique for Real-time Robot Tracking显示文摘Wheeled Mobile Robots (WMRs) are more and more widely used in advanced manufacturing.For real time tracking of WMRs,a novel way for real-time color image reconstruction based on Run Length Encoding (RLE) is present.In- dexed from a fast look up table (FLUT),color image can be encoded into multiple llne structures with different specified colors. Through object-oriented method,the RLE elements reconstruct the image features.Successful application of this technique for mo- bile robots identification is reported. | YU Wenyong SHI Hui (School of Mechanical Engineering,Wuhan University of Technology,Wuhan 430070,China | 2006 | 武汉理工大学学报2006，28，S2： | 1 |
| 12 | Monocular Dynamic Machine Vision-Based Pearl Shape Detection显示文摘In terms of the requirement of automatically sorting pearls, the pearl contour feature extraction and shape recognition algorithm are studied in this paper to reckon with the rapid identification of pearls shape online,and a monocular dynamic machine vision-based pearl shape detection device is designed. Through blowing, the pearl is suspended in a funnel shaped container and flipped rapidly in the device. The entire surface image of the pearl to be measured can be promptly grasped by the camera placed right above the funnel. The results of illumination experiments conducted from different angles indicate that the image contour acquired by the medium angle illumination is better extracted. The pearl shape test indicates that the method is incorporated with the inflatable suspension device to classify the pearls into seven types according to the national standard,and additionally the average error rate is confined under 5.38%. The shape characteristic of the pearl can be detected promptly and reliably, and accordingly the high-speed automatic sorting can be satisfied. | 王毓综 邓飞 赵大旭 叶佳英 王佩欣 寿国忠 | 2019 | Journal of Shanghai Jiaotong university(Science)2019，24，5： | 0 |
| 13 | A Novel Subpixel Curved Edge Localization Method显示文摘With the high-speed development of digital image processing technology, machine vision technology has been widely used in automatic detection of industrial products. A large amount of products can be treated by computer instead of human in a shorter time. In the process of automatic detection, edge detection is one of the most commonly used methods. But with the increasing demand for detection precision,traditional pixel-level methods are difficult to meet the requirement, and more subpixel level methods are in the use. This paper presents a new method to detect curved edge with high precision. First, the target area ratio of pixels near the edge is computed by using one-dimensional edge detection method. Second, parabola is used to approximately represent the curved edge. And we select appropriate parameters to obtain accurate results. This method is able to detect curved edges in subpixel level, and shows its practical effectiveness in automatic measure of products with arc shape in large industrial scene. | Zhengyang Du Wenqiang Zhang Jinxian Qin Hong Lu Zhong Chen Xidian Zheng | 2015 | 国际计算机前沿大会会议论文集2015，，1： | 0 |
| 14 | A MACHINE VISION SYSTEM FOR INSPECTING WOOD SURFACE DEFECTS BY USING NEURAL NETWORK显示文摘With the development of wood industry, the processing of wood products becomemore significant. This paper discusses the developmen of machine vision system used to inspect andclassny the various types of defects of wood suxface. The surface defeds means the variations ofcolour and textUre. The machine vision system is to dated undesirable 'defecs' that can appear onthe surface of rough wood lwnber. A neural network was used within the Blackboard framework fora labeling verification step of the high-level recognition module of vision system. The system hasbere successfully tested on a number of boards from several different species. | 王克奇 白景峰 | 1996 | Journal of Northeast Forestry University1996，7，2： | 0 |
| 15 | Application of Photoelectric Detection Technology in Nondestructive Testing显示文摘Non-destructive testing, is the use of sound, light, magnetic and electrical characteristics, without prejudice to or does not aff ect the performance of the object being tested under the premise of the detection of the existence of defects or non-uniformity, and gives the general term for all technical means of the size, location, nature and quantity of the defect. As does not aff ect the performance of the object being tested, non-destructive testing technology in these years has been rapid development. Photoelectric detection technology is one of the main technologies of photoelectric information technology. It is based on modern optoelectronic devices such as laser infrared fiber. The optical radiation of the detected object is received by the photoelectric detector and converted into electrical signal, and then processed by the following, access to useful information technology. The combination of photoelectric detection technology and nondestructive testing technology can take the advantages of both, and it will be widely used. In this paper, the commonly used non-destructive testing technology based on photoelectric technology is summarized. Mainly discusses infrared detection technology, machine vision detection technology, x-ray detection technology and other non-destructive testing technology. Their principles and scope of application are discussed in detail, and examples of the application of each technology in real life. | Xiumin Jiang Xianhua Tang Yanlin Peng | 2018 | Medical Imaging Process & Technology2018，1，1： | 0 |
| 16 | RULE-BASED FABRIC INSPECTION USING MACHINE VISION显示文摘Automatic visual inspection of fabric is not only one of the potential application of machinevision but a considerable challenge in textile engineering as well.This paper mainly discusses howto inspect fabric defects using machine vision.The introduced inspection system has a feature of:(?)Categorizing the fabric defects into 4 groups,for each group diffcrent image processing and recog-nizing methods are designed for fast and efficient inspection:2.The inspection and recognitionparameters are determined by training and self learning,these parameters vary with different kindsof fabric;3.Human inspetor’s experiences are summed up as rules to ensure the system has a s(?)lar evaluation performance of human inspector.This system can detect most of the fab(?) defects.the total recognition error is less than 5% except for the detection error of yarn irregularity,whichcould be as high as 20%. | 李允明 兰东 | 1993 | Journal of China Textile University(English Edition)1993，10，3： | 0 |
| 17 | Inspection Analysis for Edge Detection of Small Objects Using CAItech's 3D Laser Comparator显示文摘in many industrial situations, edge detection of 3-D objects is frequently required.Typical examples are found in dimension control and machine vision applications .As technology advances, the capability of computers has greatly improved. This paper describes our system used to inspect objects and the method used to find the edges for those objects with planar and cylindrical faces from a huge set of cloudy points. First the systems are based on opto-electronic techniques and hence are non-contact. The system is designed for a small objects less than 2 x 2 x 2 cm. The edge resolution is based on the principle of spacial geometry of a triangle in the cartesian coordinate system. The system can be considered scanning linearly with a rotation stage of a mirror,on the other hand the object circumferentially rotate on a turntable. After obtained surface profile of 3-D objects,we then apply for a geometrical method to find the edges. The performance of the systems is demonstrated with different sizes test objects. | Mr. A-Karim Taib IEEE Member Ph.D (HuaZhong Uni of Sci & Tech.School of Mech Sci & eng.CNC Institute)Dr.Chen Jihong (President of HuaZhong CNC Company Co.Ltd, Wuhan, China) Dr.Shawn Backley (President Of CAItech company Co.Ltd. California USA) Dr.Zhou J | 1998 | Computer Aided Drafting,Design and Manufacturing1998，8，2： | 0 |
| 18 | Evaluation on Glare Response to Car Headlight and Drivers′ Visibilit显示文摘EvaluationonGlareResponsetoCarHeadlightandDrivers′Visibility*ZhangDianyeWangWuhongCaoQiSchoolofEconomicsandManagment,Southwes... | Zhang Dianye Wang Wuhong Cao Qi School of Economics and Managment,Southwest Jiaotong University,Chengdu 610031,China | 1996 | Journal of Modern Transportation1996，13，2： | 0 |
| 19 | SCOUR OF FINE SEDIMENT BY A TURBULENT WALL JET显示文摘SCOUROFFINESEDIMENTBYATURBULENTWALLJETLiWen-xue(InstituteofHydraulicResearch,YellowRiverConservancyCommission,Zhengzhou,45000... | Li Wen-xue (Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou, 450003, P. R. ChinaSupervisor: Prof. Peter A. Mantz, Ph. D.)(Lamar University , P. O. Box 10024, Beaumont, Texas 77710, U. S. A.) | 1994 | Journal of Hydrodynamics1994，6，4： | 0 |
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