Image acquisition stands as a prerequisite for scrutinizing surfaces inspection in industrial high-end manufacturing.Current imaging systems often exhibit inflexibility,being confined to specific objects and encounter...Image acquisition stands as a prerequisite for scrutinizing surfaces inspection in industrial high-end manufacturing.Current imaging systems often exhibit inflexibility,being confined to specific objects and encountering difficulties with diverse industrial structures lacking standardized computer-aided design(CAD)models or in instances of deformation.Inspired by the multidimensional observation of humans,our study introduces a universal image acquisition paradigm tailored for robotics,seamlessly integrating multi-objective optimization trajectory planning and control scheme to harness measured point clouds for versatile,efficient,and highly accurate image acquisition across diverse structures and scenarios.Specifically,we introduce an energybased adaptive trajectory optimization(EBATO)method that combines deformation and deviation with dual-threshold optimization and adaptive weight adjustment to improve the smoothness and accuracy of imaging trajectory and posture.Additionally,a multi-optimization control scheme based on a meta-heuristic beetle antennal olfactory recurrent neural network(BAORNN)is proposed to track the imaging trajectory while addressing posture,obstacle avoidance,and physical constraints in industrial scenarios.Simulations,real-world experiments,and comparisons demonstrate the effectiveness and practicality of the proposed paradigm.展开更多
In order to solve the problem of complicated fabric texture interference on the pilling segmentation during the objective evaluation of fabric pilling, a new method of pilling image acquisition was proposed. Firstly, ...In order to solve the problem of complicated fabric texture interference on the pilling segmentation during the objective evaluation of fabric pilling, a new method of pilling image acquisition was proposed. Firstly, multi-direction lights were projected on the pilled fabric surface and its pilling images were captured, which mixed with invariant fabric background texture and pilling profile information modulated by the variant light projections. The captured fabric pilling images were analyzed by independent component analysis method. Using the spectrum feature analysis method, the independent components belonging to the complicated fabric background texture were separated and the pilling images are reconstructed with the left components. The experimental results showed that this method can effectively separate the pilling image from complicated fabric texture, which provides one possibility for colored fabric pilling objective evaluation.展开更多
In order to solve the difficulty of reading inconvenience in the measurement process of digital track gauge, a kind of image data acquisition system with low cost and stable performance is designed. The system uses th...In order to solve the difficulty of reading inconvenience in the measurement process of digital track gauge, a kind of image data acquisition system with low cost and stable performance is designed. The system uses the Cortex-M4 as the core of the STM32F407ZGT6 as the control core, the use of OV2640 as an image sensor to collect images, and the collection of image files stored in the SD card for subsequent image processing to achieve the goal of rail adjustment to lay the foundation. The experimental results show that the image acquisition is stable and refiable and the collected images are clear and meet the design requirements.展开更多
In HL-2A tokamak experiment, high speed image acquisitoin system grabs images and shows them in real-time. It provides serial images of discharge to help scientists a lot to analyse the experiment. Neutral particle co...In HL-2A tokamak experiment, high speed image acquisitoin system grabs images and shows them in real-time. It provides serial images of discharge to help scientists a lot to analyse the experiment. Neutral particle count system counts the number of neutral particles radiated from fusion plasmas. It provides the data to calculate the ion energy.展开更多
After a brief review of existing methods for fabric wetting and wicking measurement,a new numerical approach based on dynamic image acquisition and analysis was proposed to study the liquid wetting and wicking propert...After a brief review of existing methods for fabric wetting and wicking measurement,a new numerical approach based on dynamic image acquisition and analysis was proposed to study the liquid wetting and wicking properties of woven fabrics.A measuring system was first developed to record on-site the images of liquid ascending in fabrics for a certain period of time.The hardware and software platforms and the experimental methods were described,and the image processing and analysis as well as other related algorithms were discussed in detail.The liquid front curves and rising rates in wetting and wicking were eventually obtained towards different fabrics.From liquid wicking curves,relationship between liquid ascending height and liquid ascending time agrees well with the Washburn theory.The data comparison between the numerical measurement and the traditional test proves the reliability of the numerical results.展开更多
Industrial surface inspection is crucial for the manufacture of high-end equipment across industries,with precise image acquisition being fundamental.Existing imaging systems often lack flexibility,they are restricted...Industrial surface inspection is crucial for the manufacture of high-end equipment across industries,with precise image acquisition being fundamental.Existing imaging systems often lack flexibility,they are restricted to specific objects,and face challenges in industrial structures without standardized computer-aided design(CAD)models or with complex surfaces.Inspired by human-like multidimensional observation,this study developed a universal image acquisition system based on measured point clouds,offering strong adaptability and robustness in complex industrial settings.The system is divided into three layers:the physical layer responsible for hardware integration,the interaction layer that facilitates bidirectional data exchange with the control layer,and the control layer integrating a new paradigm of multiple intelligent algorithms.The physical layer incorporates 2D and 3D cameras,turntables and industrial robots,enhancing the flexibility and compatibility of imaging.The interaction layer manages bidirectional information transmission and data exchange,offering a visualized area to enhance the user interaction experience.The control layer consists of point cloud preprocessing,primitive segmentation,viewpoint generation and pose estimation algorithms,using point cloud-based viewpoint generation and trajectory planning for high-precision image acquisition applicable to complex surface inspections across scenarios and structures.The system’s utility is demonstrated through a software and hardware algorithm platform and an interactive interface.Experimental validation on curved surfaces of different configurations and sizes confirms its universal image acquisition advantages.This system promises to introduce a cost-effective,versatile solution for complex surfaces,driving adoption across diverse industrial scenarios.展开更多
Context-aware computing is a new mode originated from ubiquitous computing.Its emergence brings a substantial change to traditional computing and related service.Image is a pervasive tool for context awareness.A large...Context-aware computing is a new mode originated from ubiquitous computing.Its emergence brings a substantial change to traditional computing and related service.Image is a pervasive tool for context awareness.A large number of applications are developed based on images analysis.In this paper,an image acquisition system is presented for agricultural context-aware computing.The potential use of the system includes production evaluation,precise management and assistant control.The system includes four modules:the camera system,the control system,mechanism,and communication.The system can be easily installed in target crop fields.The camera system is composed of a binocular stereo camera and a color camera.Two cubic images and a corresponding texture image are collected for each plant in the process of data acquisition.An accessorial software system is developed to control and manage the capture system.Experiments show that the presented system is effective for image acquisition of agricultural context-aware computing.展开更多
Acquiring deep-space images with high spatial resolution and sensitivity is important for space-debris surveillance and early warning. We propose a novel computational imaging （CI） method for high-sensitivity image ...Acquiring deep-space images with high spatial resolution and sensitivity is important for space-debris surveillance and early warning. We propose a novel computational imaging （CI） method for high-sensitivity image acquisition in this letter. The proposed approach introduces CI into image formation. The proposed capturing process conducts minor modifications for cameras to encode more desirable information during capture, which is practical for hardware implementation. The latent image is reconstructed by formulating a recovery problem into an optimization problem, which is solved with iteratively reweighted least square technique. The experimental results clearly show the effectiveness of the proposed method.展开更多
Small-section hydraulic tunnels are characterized by small spaces and various section forms,under complex environments,which makes it difficult to carry out an inspection by the mobile acquisition equipment.To resolve...Small-section hydraulic tunnels are characterized by small spaces and various section forms,under complex environments,which makes it difficult to carry out an inspection by the mobile acquisition equipment.To resolve these problems,an arbitrarily adjustable camera module deployment method and the corresponding automatic image acquisition equipment with multi-area array cameras are proposed and developed.Such method enables the acquisition of full-length surface images of the hydraulic tunnels with different cross-section forms and diameters by a one-way travel,and the overlap rate and accuracy of the acquired image sets meet the requirements of three-dimensional reconstruction and panoramic image generation.In addition,to improve the speed and accuracy of traditional algorithms for tunnel surface defects detection,this paper proposes an improved YOLOv5s-DECA model.The algorithm introduces DenseNet to optimize the backbone feature extraction network and incorporates an efficient channel attention ECA module to make a better extraction of features of defects.The experimental results show that mAP,and F1-score of YOLOv5-DECA are 73.4%and 74.6%,respectively,which are better than the common model in terms of accuracy and robustness.The proposed YOLOv5-DECA has great detection performance for targets with variable shapes and can solve the problem of classification imbalance in surface defects.Then,by combining YOLOv5-DECA with the direction search algorithm,a“point-ring-section”method is established to allow rapid identification of common surface defects by detecting them layer by layer with the bottom image of the stitched panorama as the seed.The presented method in this paper effectively solves the problem that a single image fails to show the overall distribution of the defects and their accurate positioning in a whole large tunnel section and the effective features of defects in an excessively large panoramic image size are difficult to be captured by the neural network.Field applications demonstrated that the presented method is adequate for high-precision and intelligent surface defect detection and positioning for different small-section hydraulic tunnels such as circular,arch-wall,and box-shaped hydraulic tunnels.展开更多
In this paper, the advantages and disadvantages of the existing ultrasonic image management system are analyzed, and also a multi-functional color Doppler ultrasound image-text management system is researched and deve...In this paper, the advantages and disadvantages of the existing ultrasonic image management system are analyzed, and also a multi-functional color Doppler ultrasound image-text management system is researched and developed in combination with the experience of color Doppler ultrasound doctors. With this system, the related operations such as color Doppler ultrasound images acquisition, processing, preservation, and medical records are implemented. In the design of the system, a professional acquisition card is used for implementing the acquisition of ordinary video signals. In the meantime, DICOM interface is designed using DICOM3.0 protocol for implementing multi-mode acquisition.展开更多
To detect the deformation of the tunnel structure based on image sensor networks is the advanced study and application of spatial sensor technology. For the vertical settlement of metro tunnel caused by internal and e...To detect the deformation of the tunnel structure based on image sensor networks is the advanced study and application of spatial sensor technology. For the vertical settlement of metro tunnel caused by internal and external stress after its long period operation, the overall scheme and measuring principle of tunnel deformation detection system is in- troduced. The image data acquisition and processing of detection target are achieved by the cooperative work of image sensor, ARM embedded system. RS485 communication achieves the data transmission between ARM memory and host computer. The database system in station platform analyses the detection data and obtains the deformation state of tunnel inner wall, which makes it possible to early-warn the tunnel deformation and take preventive measures in time.展开更多
Picture archiving and communication system(PACS)has played an important role in hospital and developed rapidly in recent years.It is an important part of PACS architecture that X-ray video output connects with PACS.In...Picture archiving and communication system(PACS)has played an important role in hospital and developed rapidly in recent years.It is an important part of PACS architecture that X-ray video output connects with PACS.In this paper,a method to digitize the video signals of X-ray facility is introduced.By means of the video capture card,we can acquire digital medical images from X-ray facility.The American College of Radiology(ACR)and the National Electrical Manufacturers Association(NEMA)developed a standard for Digital Imaging and Communications in Medicine(DICOM),this DICOM standard introduces a rule of medical image conversion from conventional format to DICOM one.According to abovementioned standard,X-ray video signals can be connected to PACS easily.This project has been applied in some hospitals successfully and there is satisfied result.展开更多
In this work, we propose an approach for the separation of coumarins from thin-layer morphological segmentation based on the acquisition of multicomponent images integrating different types of coumarins. The first ste...In this work, we propose an approach for the separation of coumarins from thin-layer morphological segmentation based on the acquisition of multicomponent images integrating different types of coumarins. The first step is to make a segmentation by region, by thresholding, by contour, etc. of each component of the digital image. Then, we proceeded to the calculations of parameters of the regions such as the color standard deviation, the color entropy, the average color of the pixels, the eccentricity from an algorithm on the matlab software. The mean color values at<sub>R</sub> = 91.20 in red, at<sub>B</sub> = 213.21 in blue showed the presence of samidin in the extract. The color entropy values H<sub>G</sub> = 5.25 in green and H<sub>B</sub> = 4.04 in blue also show the presence of visnadine in the leaves of Desmodium adscendens. These values are used to consolidate the database of separation and discrimination of the types of coumarins. The relevance of our coumarin separation or coumarin recognition method has been highlighted compared to other methods, such as the one based on the calculation of frontal ratios which cannot discriminate between two coumarins having the same frontal ratio. The robustness of our method is proven with respect to the separation and identification of some coumarins, in particular samidin and anglicine.展开更多
Digital image acquisition and processing systems are applied in more and more fields for its compact size and high perfor-mance of preprocessing.This paper describes the design of the drivers for the digital image cap...Digital image acquisition and processing systems are applied in more and more fields for its compact size and high perfor-mance of preprocessing.This paper describes the design of the drivers for the digital image capturing system with the structure of microprocessor plus image sensor under Linux Operation System.The driver for image sensor is developed according to Video4Linux driver interface.The basic framework of device driver for image sensors,the V4L driver interface,12C bus driver interface and the registers configuration of CMOS chip are also described in detail.The drivers are implemented on Intel PXA270microprocessor.Ex-periment results show that the image acquisition device with the developed drivers can meet the need of general real-time image col-lection and transmission.展开更多
Conventional semi-active laser guidance takes advantage of the laser designator to illuminate the stable and uniform laser spot on target precisely.The seeker collects the reflected light by a quadrant detector and ou...Conventional semi-active laser guidance takes advantage of the laser designator to illuminate the stable and uniform laser spot on target precisely.The seeker collects the reflected light by a quadrant detector and outputs the relative position information to guide the missile to the illuminating laser spot.However,the designation and guidance accuracy could be jeopardized by the randomly drifting of laser spot caused by the instability of designation platform and air turbulence.In this work,ghost imaging technique is adapted to a quadrant detector semi-active seeker by utilizing structured illumination on the target.With a series of structured illumination masks,the signals from the quadrant detector are multiplexed to perform calculation of the target relative position as well as image reconstruction of the illuminated area simultaneously.Automatic target recognition methods could be further applied to the reconstructed image to calculate the designating error and correct the guidance.The results of simulation and experiment demonstrate that the proposed method could improve the guidance accuracy in many circumstances which would lead to attacking deviation if conventional semi-active laser guidance is used.展开更多
The switching arc that occurs in contact gap when contact of low voltage apparatus closes or breaks in electric circuit is harmful to the contacts, insulation, and reliability of electrical gear because of its very hi...The switching arc that occurs in contact gap when contact of low voltage apparatus closes or breaks in electric circuit is harmful to the contacts, insulation, and reliability of electrical gear because of its very high temperature. As arcing time is very short in switching gear, it is very difficult to observe arc phenomena directly for researchers. Therefore, visualization of switching arc is important for understanding arc phenomena, to analyze the arc features, and to improve the design and reliability of switching gear. Based on analyzing the visualization methods proposed by researchers, a new switching arc capturing approach is introduced in this paper. Arc image acquisition, and image processing techniques were studied. A switching arc image acquisition and visual simulation software based on high speed CCD camera hard ware system was designed and implemented to yield en- hanced arc image with good visual effect.展开更多
Inspired by the unique structure of insect compound eyes,a multi-channel image acquisition system is designed to photograph a cylindrical panorama of its surroundings with one shot. The hardware structure consists of ...Inspired by the unique structure of insect compound eyes,a multi-channel image acquisition system is designed to photograph a cylindrical panorama of its surroundings with one shot. The hardware structure consists of an embedded ARM system and one array of 16 micro-image sensors. The system achieves the synchronization of captured photos in 10 ms,as well as 10 f /s video capture. The software architecture includes the TCP /IP protocol,video capture procedures in"Poll/Read"or"video streaming"modes,thread pool monitoring in multi-threading mutex,synchronization control with the"event""mutex signal"and"critical region"functions,and a synthetic image algorithm characterized by its portability,modularity,and remote transmission. The panoramic imaging system is expected to be a vision sensor for mobile robotics.展开更多
With the continuous development of science and technology,artificial intelligence(AI)is coming into our lives and changing our lives.Since China entered the aging society in 2000,the degree of population aging has dee...With the continuous development of science and technology,artificial intelligence(AI)is coming into our lives and changing our lives.Since China entered the aging society in 2000,the degree of population aging has deepened.Comprehensive geriatric assessment(CGA)is now the accepted gold standard for the care of older people in hospitals.However,some problems limit the clinical application,such as complexity and time consuming.Therefore,by analyzing previous studies,we summarize some existing AI tools in order to find a more optimized assessment tool to complete the entire CGA process.展开更多
In strip surface quality inspection systems based on the machine vision detection technology ,image quality is a key factor affecting the final detection performance. Composite imaging methods, such as bright and dark...In strip surface quality inspection systems based on the machine vision detection technology ,image quality is a key factor affecting the final detection performance. Composite imaging methods, such as bright and dark field imaging or reflection and transmission imaging, can reveal more information by emphasizing different image aspects. Defect detection rates and defect recognition accuracy can be improved by integrating and matching information from different image acquisition settings. Practical application shows that transmission and reflection composite imaging can improve the imaging quality of penetrative defects, while bright and dark field composite imaging can enhance imaging of defects such as color deviation and stains.展开更多
Artificial intelligence(AI)has seen tremendous growth over the past decade and stands to disrupts the medical industry.In medicine,this has been applied in medical imaging and other digitised medical disciplines,but i...Artificial intelligence(AI)has seen tremendous growth over the past decade and stands to disrupts the medical industry.In medicine,this has been applied in medical imaging and other digitised medical disciplines,but in more traditional fields like medical physics,the adoption of AI is still at an early stage.Though AI is anticipated to be better than human in certain tasks,with the rapid growth of AI,there is increasing concerns for its usage.The focus of this paper is on the current landscape and potential future applications of artificial intelligence in medical physics and radiotherapy.Topics on AI for image acquisition,image segmentation,treatment delivery,quality assurance and outcome prediction will be explored as well as the interaction between human and AI.This will give insights into how we should approach and use the technology for enhancing the quality of clinical practice.展开更多
基金supported in part by the National Natural Science Foundation of China(62303457,U21A20482)China Postdoctoral Science Foundation(2023M733737)the National Key Research and Development Program of China(2022YFB3303800)。
文摘Image acquisition stands as a prerequisite for scrutinizing surfaces inspection in industrial high-end manufacturing.Current imaging systems often exhibit inflexibility,being confined to specific objects and encountering difficulties with diverse industrial structures lacking standardized computer-aided design(CAD)models or in instances of deformation.Inspired by the multidimensional observation of humans,our study introduces a universal image acquisition paradigm tailored for robotics,seamlessly integrating multi-objective optimization trajectory planning and control scheme to harness measured point clouds for versatile,efficient,and highly accurate image acquisition across diverse structures and scenarios.Specifically,we introduce an energybased adaptive trajectory optimization(EBATO)method that combines deformation and deviation with dual-threshold optimization and adaptive weight adjustment to improve the smoothness and accuracy of imaging trajectory and posture.Additionally,a multi-optimization control scheme based on a meta-heuristic beetle antennal olfactory recurrent neural network(BAORNN)is proposed to track the imaging trajectory while addressing posture,obstacle avoidance,and physical constraints in industrial scenarios.Simulations,real-world experiments,and comparisons demonstrate the effectiveness and practicality of the proposed paradigm.
文摘In order to solve the problem of complicated fabric texture interference on the pilling segmentation during the objective evaluation of fabric pilling, a new method of pilling image acquisition was proposed. Firstly, multi-direction lights were projected on the pilled fabric surface and its pilling images were captured, which mixed with invariant fabric background texture and pilling profile information modulated by the variant light projections. The captured fabric pilling images were analyzed by independent component analysis method. Using the spectrum feature analysis method, the independent components belonging to the complicated fabric background texture were separated and the pilling images are reconstructed with the left components. The experimental results showed that this method can effectively separate the pilling image from complicated fabric texture, which provides one possibility for colored fabric pilling objective evaluation.
文摘In order to solve the difficulty of reading inconvenience in the measurement process of digital track gauge, a kind of image data acquisition system with low cost and stable performance is designed. The system uses the Cortex-M4 as the core of the STM32F407ZGT6 as the control core, the use of OV2640 as an image sensor to collect images, and the collection of image files stored in the SD card for subsequent image processing to achieve the goal of rail adjustment to lay the foundation. The experimental results show that the image acquisition is stable and refiable and the collected images are clear and meet the design requirements.
文摘In HL-2A tokamak experiment, high speed image acquisitoin system grabs images and shows them in real-time. It provides serial images of discharge to help scientists a lot to analyse the experiment. Neutral particle count system counts the number of neutral particles radiated from fusion plasmas. It provides the data to calculate the ion energy.
基金the Research Funds for the Central Universities,China(No.1302-1)The Project Sponsored SRF for ROCS,SEM,China
文摘After a brief review of existing methods for fabric wetting and wicking measurement,a new numerical approach based on dynamic image acquisition and analysis was proposed to study the liquid wetting and wicking properties of woven fabrics.A measuring system was first developed to record on-site the images of liquid ascending in fabrics for a certain period of time.The hardware and software platforms and the experimental methods were described,and the image processing and analysis as well as other related algorithms were discussed in detail.The liquid front curves and rising rates in wetting and wicking were eventually obtained towards different fabrics.From liquid wicking curves,relationship between liquid ascending height and liquid ascending time agrees well with the Washburn theory.The data comparison between the numerical measurement and the traditional test proves the reliability of the numerical results.
基金supported by the National Natural Science Foundation of China(Nos.62303457 and U21A20482)Beijing Municipal Natural Science Foundation,China(No.4252053)Project funded by Beijing Zhongke Huiling Robot Technology Co.,Ltd,China(No.E5D11703).
文摘Industrial surface inspection is crucial for the manufacture of high-end equipment across industries,with precise image acquisition being fundamental.Existing imaging systems often lack flexibility,they are restricted to specific objects,and face challenges in industrial structures without standardized computer-aided design(CAD)models or with complex surfaces.Inspired by human-like multidimensional observation,this study developed a universal image acquisition system based on measured point clouds,offering strong adaptability and robustness in complex industrial settings.The system is divided into three layers:the physical layer responsible for hardware integration,the interaction layer that facilitates bidirectional data exchange with the control layer,and the control layer integrating a new paradigm of multiple intelligent algorithms.The physical layer incorporates 2D and 3D cameras,turntables and industrial robots,enhancing the flexibility and compatibility of imaging.The interaction layer manages bidirectional information transmission and data exchange,offering a visualized area to enhance the user interaction experience.The control layer consists of point cloud preprocessing,primitive segmentation,viewpoint generation and pose estimation algorithms,using point cloud-based viewpoint generation and trajectory planning for high-precision image acquisition applicable to complex surface inspections across scenarios and structures.The system’s utility is demonstrated through a software and hardware algorithm platform and an interactive interface.Experimental validation on curved surfaces of different configurations and sizes confirms its universal image acquisition advantages.This system promises to introduce a cost-effective,versatile solution for complex surfaces,driving adoption across diverse industrial scenarios.
基金National High Technology R&D Program(“863”Program)of China(Grant No.2013AA102404-02)National Natural Science Foundation of China(Grant No.31171454,61300079)+1 种基金Beijing Municipal Natural Science Foundation(Grant No.4132028)Special Fund for S&T Innovation of Beijing Academy of Agriculture,and Forestry Sciences Grant(No.KJCX201204007).
文摘Context-aware computing is a new mode originated from ubiquitous computing.Its emergence brings a substantial change to traditional computing and related service.Image is a pervasive tool for context awareness.A large number of applications are developed based on images analysis.In this paper,an image acquisition system is presented for agricultural context-aware computing.The potential use of the system includes production evaluation,precise management and assistant control.The system includes four modules:the camera system,the control system,mechanism,and communication.The system can be easily installed in target crop fields.The camera system is composed of a binocular stereo camera and a color camera.Two cubic images and a corresponding texture image are collected for each plant in the process of data acquisition.An accessorial software system is developed to control and manage the capture system.Experiments show that the presented system is effective for image acquisition of agricultural context-aware computing.
基金supported by the National Natural Science Foundation Key Project(No.61231016)theNational Natural Science Foundation of China Youth Science Fund Project(No.61301193)
文摘Acquiring deep-space images with high spatial resolution and sensitivity is important for space-debris surveillance and early warning. We propose a novel computational imaging （CI） method for high-sensitivity image acquisition in this letter. The proposed approach introduces CI into image formation. The proposed capturing process conducts minor modifications for cameras to encode more desirable information during capture, which is practical for hardware implementation. The latent image is reconstructed by formulating a recovery problem into an optimization problem, which is solved with iteratively reweighted least square technique. The experimental results clearly show the effectiveness of the proposed method.
基金funded by the Hunan Provincial Natural Science Foundation Project(Grant No.2023JJ30672)the Science and Technology Research and Development Program Project of China Railway Group Limited(Grant No.2021-Special-08(A))+1 种基金the Science and Technology Research and Development Plan Project of China National Railway Group Co.Ltd.(Grant No.L2022G003)the Open Foundation of National Engineering Laboratory for High-speed Railway Construction(No.HSR202005).
文摘Small-section hydraulic tunnels are characterized by small spaces and various section forms,under complex environments,which makes it difficult to carry out an inspection by the mobile acquisition equipment.To resolve these problems,an arbitrarily adjustable camera module deployment method and the corresponding automatic image acquisition equipment with multi-area array cameras are proposed and developed.Such method enables the acquisition of full-length surface images of the hydraulic tunnels with different cross-section forms and diameters by a one-way travel,and the overlap rate and accuracy of the acquired image sets meet the requirements of three-dimensional reconstruction and panoramic image generation.In addition,to improve the speed and accuracy of traditional algorithms for tunnel surface defects detection,this paper proposes an improved YOLOv5s-DECA model.The algorithm introduces DenseNet to optimize the backbone feature extraction network and incorporates an efficient channel attention ECA module to make a better extraction of features of defects.The experimental results show that mAP,and F1-score of YOLOv5-DECA are 73.4%and 74.6%,respectively,which are better than the common model in terms of accuracy and robustness.The proposed YOLOv5-DECA has great detection performance for targets with variable shapes and can solve the problem of classification imbalance in surface defects.Then,by combining YOLOv5-DECA with the direction search algorithm,a“point-ring-section”method is established to allow rapid identification of common surface defects by detecting them layer by layer with the bottom image of the stitched panorama as the seed.The presented method in this paper effectively solves the problem that a single image fails to show the overall distribution of the defects and their accurate positioning in a whole large tunnel section and the effective features of defects in an excessively large panoramic image size are difficult to be captured by the neural network.Field applications demonstrated that the presented method is adequate for high-precision and intelligent surface defect detection and positioning for different small-section hydraulic tunnels such as circular,arch-wall,and box-shaped hydraulic tunnels.
文摘In this paper, the advantages and disadvantages of the existing ultrasonic image management system are analyzed, and also a multi-functional color Doppler ultrasound image-text management system is researched and developed in combination with the experience of color Doppler ultrasound doctors. With this system, the related operations such as color Doppler ultrasound images acquisition, processing, preservation, and medical records are implemented. In the design of the system, a professional acquisition card is used for implementing the acquisition of ordinary video signals. In the meantime, DICOM interface is designed using DICOM3.0 protocol for implementing multi-mode acquisition.
基金Science and Technology Commission of Shanghai Municipality(No.08201202103)
文摘To detect the deformation of the tunnel structure based on image sensor networks is the advanced study and application of spatial sensor technology. For the vertical settlement of metro tunnel caused by internal and external stress after its long period operation, the overall scheme and measuring principle of tunnel deformation detection system is in- troduced. The image data acquisition and processing of detection target are achieved by the cooperative work of image sensor, ARM embedded system. RS485 communication achieves the data transmission between ARM memory and host computer. The database system in station platform analyses the detection data and obtains the deformation state of tunnel inner wall, which makes it possible to early-warn the tunnel deformation and take preventive measures in time.
基金Supported by the Enterprise Innovation Foundationof Wuhan (WS(2001)14)
文摘Picture archiving and communication system(PACS)has played an important role in hospital and developed rapidly in recent years.It is an important part of PACS architecture that X-ray video output connects with PACS.In this paper,a method to digitize the video signals of X-ray facility is introduced.By means of the video capture card,we can acquire digital medical images from X-ray facility.The American College of Radiology(ACR)and the National Electrical Manufacturers Association(NEMA)developed a standard for Digital Imaging and Communications in Medicine(DICOM),this DICOM standard introduces a rule of medical image conversion from conventional format to DICOM one.According to abovementioned standard,X-ray video signals can be connected to PACS easily.This project has been applied in some hospitals successfully and there is satisfied result.
文摘In this work, we propose an approach for the separation of coumarins from thin-layer morphological segmentation based on the acquisition of multicomponent images integrating different types of coumarins. The first step is to make a segmentation by region, by thresholding, by contour, etc. of each component of the digital image. Then, we proceeded to the calculations of parameters of the regions such as the color standard deviation, the color entropy, the average color of the pixels, the eccentricity from an algorithm on the matlab software. The mean color values at<sub>R</sub> = 91.20 in red, at<sub>B</sub> = 213.21 in blue showed the presence of samidin in the extract. The color entropy values H<sub>G</sub> = 5.25 in green and H<sub>B</sub> = 4.04 in blue also show the presence of visnadine in the leaves of Desmodium adscendens. These values are used to consolidate the database of separation and discrimination of the types of coumarins. The relevance of our coumarin separation or coumarin recognition method has been highlighted compared to other methods, such as the one based on the calculation of frontal ratios which cannot discriminate between two coumarins having the same frontal ratio. The robustness of our method is proven with respect to the separation and identification of some coumarins, in particular samidin and anglicine.
文摘Digital image acquisition and processing systems are applied in more and more fields for its compact size and high perfor-mance of preprocessing.This paper describes the design of the drivers for the digital image capturing system with the structure of microprocessor plus image sensor under Linux Operation System.The driver for image sensor is developed according to Video4Linux driver interface.The basic framework of device driver for image sensors,the V4L driver interface,12C bus driver interface and the registers configuration of CMOS chip are also described in detail.The drivers are implemented on Intel PXA270microprocessor.Ex-periment results show that the image acquisition device with the developed drivers can meet the need of general real-time image col-lection and transmission.
基金co-supported by National Natural Science Foundation of China(Nos.61922011 and 61675016)the Fundamental Research Funds for the Central Universities。
文摘Conventional semi-active laser guidance takes advantage of the laser designator to illuminate the stable and uniform laser spot on target precisely.The seeker collects the reflected light by a quadrant detector and outputs the relative position information to guide the missile to the illuminating laser spot.However,the designation and guidance accuracy could be jeopardized by the randomly drifting of laser spot caused by the instability of designation platform and air turbulence.In this work,ghost imaging technique is adapted to a quadrant detector semi-active seeker by utilizing structured illumination on the target.With a series of structured illumination masks,the signals from the quadrant detector are multiplexed to perform calculation of the target relative position as well as image reconstruction of the illuminated area simultaneously.Automatic target recognition methods could be further applied to the reconstructed image to calculate the designating error and correct the guidance.The results of simulation and experiment demonstrate that the proposed method could improve the guidance accuracy in many circumstances which would lead to attacking deviation if conventional semi-active laser guidance is used.
基金Project (No. 60675014) supported by the National Natural Science Foundation of China
文摘The switching arc that occurs in contact gap when contact of low voltage apparatus closes or breaks in electric circuit is harmful to the contacts, insulation, and reliability of electrical gear because of its very high temperature. As arcing time is very short in switching gear, it is very difficult to observe arc phenomena directly for researchers. Therefore, visualization of switching arc is important for understanding arc phenomena, to analyze the arc features, and to improve the design and reliability of switching gear. Based on analyzing the visualization methods proposed by researchers, a new switching arc capturing approach is introduced in this paper. Arc image acquisition, and image processing techniques were studied. A switching arc image acquisition and visual simulation software based on high speed CCD camera hard ware system was designed and implemented to yield en- hanced arc image with good visual effect.
基金Supported by the National Natural Science Foundation of China(61233014)the China Postdoctoral Science Foundation(2012M5210711,20123218110031)the National Natural Science Major International Cooperation Projects(61161120323)
文摘Inspired by the unique structure of insect compound eyes,a multi-channel image acquisition system is designed to photograph a cylindrical panorama of its surroundings with one shot. The hardware structure consists of an embedded ARM system and one array of 16 micro-image sensors. The system achieves the synchronization of captured photos in 10 ms,as well as 10 f /s video capture. The software architecture includes the TCP /IP protocol,video capture procedures in"Poll/Read"or"video streaming"modes,thread pool monitoring in multi-threading mutex,synchronization control with the"event""mutex signal"and"critical region"functions,and a synthetic image algorithm characterized by its portability,modularity,and remote transmission. The panoramic imaging system is expected to be a vision sensor for mobile robotics.
基金supported by the Foundation of Aerospace Center Hospital(No.YN202107)the Foundation of Aerospace Medical Health Technology Group(No.2021YK02)。
文摘With the continuous development of science and technology,artificial intelligence(AI)is coming into our lives and changing our lives.Since China entered the aging society in 2000,the degree of population aging has deepened.Comprehensive geriatric assessment(CGA)is now the accepted gold standard for the care of older people in hospitals.However,some problems limit the clinical application,such as complexity and time consuming.Therefore,by analyzing previous studies,we summarize some existing AI tools in order to find a more optimized assessment tool to complete the entire CGA process.
文摘In strip surface quality inspection systems based on the machine vision detection technology ,image quality is a key factor affecting the final detection performance. Composite imaging methods, such as bright and dark field imaging or reflection and transmission imaging, can reveal more information by emphasizing different image aspects. Defect detection rates and defect recognition accuracy can be improved by integrating and matching information from different image acquisition settings. Practical application shows that transmission and reflection composite imaging can improve the imaging quality of penetrative defects, while bright and dark field composite imaging can enhance imaging of defects such as color deviation and stains.
文摘Artificial intelligence(AI)has seen tremendous growth over the past decade and stands to disrupts the medical industry.In medicine,this has been applied in medical imaging and other digitised medical disciplines,but in more traditional fields like medical physics,the adoption of AI is still at an early stage.Though AI is anticipated to be better than human in certain tasks,with the rapid growth of AI,there is increasing concerns for its usage.The focus of this paper is on the current landscape and potential future applications of artificial intelligence in medical physics and radiotherapy.Topics on AI for image acquisition,image segmentation,treatment delivery,quality assurance and outcome prediction will be explored as well as the interaction between human and AI.This will give insights into how we should approach and use the technology for enhancing the quality of clinical practice.
