- 标题
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[IEEE 2018 26th European Signal Processing Conference (EUSIPCO) - Rome (2018.9.3-2018.9.7)] 2018 26th European Signal Processing Conference (EUSIPCO) - Road Surface Crack Detection using a Light Field Camera
摘要： During traditional road surveys, inspectors capture images of pavement surface using cameras that produce 2D images, which can then be automatically processed to get a road surface condition assessment. This paper proposes a novel crack detection system that uses a light field imaging sensor, notably the Lytro Illum camera, instead of a conventional 2D camera, to capture road surface light field images. Light field images capture the light rays originating from different directions, thus providing a richer representation of the observed scene. The proposed system explores the disparity information, which can be computed from the light field, to obtain information about cracks observable in the pavement images. A simple processing system is considered, to show the potential use of this type of sensors for crack detection. Encouraging experimental crack detection results are presented based on a set of road pavement light field images captured over different pavement surface textures. A performance comparison with a state-of-the-art 2D image crack detection system is included, confirming the potential of using this type of sensors.
关键词： Light field imaging,image processing,road crack detection
更新于2025-09-19 17:15:36
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497 The automated and real time use of infrared thermography in the detection and correction of DFD and fevers in cattle.
摘要： can provide an effective tool for predicting color and marbling in the pork industry at online speeds.
关键词： Computer Vision,Image Processing,Pork Loin
更新于2025-09-19 17:15:36
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Condition Monitoring of Wind Turbine Blades Using Active and Passive Thermography
摘要： The failure of wind turbine blades is a major concern in the wind power industry due to the resulting high cost. It is, therefore, crucial to develop methods to monitor the integrity of wind turbine blades. Different methods are available to detect subsurface damage but most require close proximity between the sensor and the blade. Thermography, as a non-contact method, may avoid this problem. Both passive and active pulsed and step heating and cooling thermography techniques were investigated for different purposes. A section of a severely damaged blade and a small “plate” cut from the undamaged laminate section of the blade with holes of varying diameter and depth drilled from the rear to provide “known” defects were monitored. The raw thermal images captured by both active and passive thermography demonstrated that image processing was required to improve the quality of the thermal data. Different image processing algorithms were used to increase the thermal contrasts of subsurface defects in thermal images obtained by active thermography. A method called “Step Phase and Amplitude Thermography”, which applies a transform-based algorithm to step heating and cooling data was used. This method was also applied, for the ?rst time, to the passive thermography results. The outcomes of the image processing on both active and passive thermography indicated that the techniques employed could considerably increase the quality of the images and the visibility of internal defects. The signal-to-noise ratio of raw and processed images was calculated to quantitatively show that image processing methods considerably improve the ratios.
关键词： wind turbine blades,defects,thermography,image processing,condition monitoring
更新于2025-09-19 17:15:36
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Horizontal flow fields observed in Hinode G-band images
摘要： Context. Solar pores are penumbra-lacking magnetic features, that mark two important transitions in the spectrum of magnetohydrodynamic processes: (1) the magnetic field becomes sufficiently strong to suppress the convective energy transport and (2) at some critical point some pores develop a penumbra and become sunspots. Aims. The purpose of this statistical study is to comprehensively describe solar pores in terms of their size, perimeter, shape, photometric properties, and horizontal proper motions. The seeing-free and uniform data of the Japanese Hinode mission provide an opportunity to compare flow fields in the vicinity of pores in different environments and at various stages of their evolution. Methods. The extensive database of high-resolution G-band images observed with the Hinode Solar Optical Telescope (SOT) is a unique resource to derive statistical properties of pores using advanced digital image processing techniques. The study is based on two data sets: (1) photometric and morphological properties inferred from single G-band images cover almost seven years from 2006 October 25 to 2013 August 31; and (2) horizontal flow fields derived from 356 one-hour sequences of G-band images using local correlation tracking (LCT) for a shorter period of time from 2006 November 3 to 2008 January 6 comprising 13 active regions. Results. A total of 7643/2863 (single/time-averaged) pores builds the foundation of the statistical analysis. Pores are preferentially observed at low latitudes in the southern hemisphere during the deep minimum of solar cycle No. 23. This imbalance reverses during the rise of cycle No. 24, when the pores migrate from high to low latitudes. Pores are rarely encountered in quiet-Sun G-band images, and only about 10% of pores exist in isolation. In general, pores do not exhibit a circular shape. Typical aspect ratios of the semi-major and -minor axes are 3:2 when ellipses are fitted to pores. Smaller pores (more than two-thirds are smaller than 5 Mm2) tend to be more circular, and their boundaries are less corrugated. Both the area and perimeter length of pores obey log-normal frequency distributions. The frequency distribution of the intensity can be reproduced by two Gaussians representing dark and bright components. Bright features resembling umbral dots and even light bridges cover about 20% of the pores’ area. Averaged radial profiles show a peak in the intensity at normalized radius RN = r/Rpore = 2.1, followed by maxima of the divergence at RN = 2.3 and the radial component of the horizontal velocity at RN = 4.6. The divergence is negative within pores strongly suggesting converging flows towards the center of pores, whereas exterior flows are directed towards neighboring supergranular boundaries. The photometric radius of pores, where the intensity reaches quiet-Sun levels at RN = 1.4, corresponds to the position where the divergence is zero at RN = 1.6. Conclusions. Morphological and photometric properties as well as horizontal flow fields have been obtained for a statistically meaningful sample of pores. This provides critical boundary conditions for MHD simulations of magnetic flux concentrations, which eventually evolve into sunspots or just simply erode and fade away. Numerical models of pores (and sunspots) have to fit within these confines, and more importantly ensembles of pores have to agree with the frequency distributions of observed parameters.
关键词： methods: statistical,sunspots,Sun: activity,methods: data analysis,Sun: photosphere,techniques: image processing
更新于2025-09-19 17:15:36
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[IEEE 2018 International Electronics Symposium on Engineering Technology and Applications (IES-ETA) - Bali Island, Indonesia (2018.10.29-2018.10.30)] 2018 International Electronics Symposium on Engineering Technology and Applications (IES-ETA) - Vein Visualization System Using Camera and Projector Based on Distance Sensor
摘要： The location of the veins of every person is different, some are visible with the naked eye and some are invisible. This is due to the location of the veins deep below the skin, usually due to excessive fat covered. Many papers that have the topic to solve this difficulty mostly perform only image processing without back-projection. In this paper, we propose a method for improving vein image enhancement using high boost filter and preliminary study about back projection by using the intersection between camera view and projector view. Vein data acquired by NIR reflection method. The obtained vein image enhanced by using a high-boost filter. To deal with the post-segmentation noise, we use a combination of morphology and contour area. Based on these combinations, the accuracy of vein detection is 84.62%. The result of the preliminary study about back-projection is already able to project the vein image and the future work is focused on adjusting the projection in term of distance change between device and object.
关键词： image processing,high boost filter,contour area,vein pattern,intravenous access,NIR,back-projection
更新于2025-09-19 17:15:36
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[IEEE 2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) - Xi'an, China (2018.11.7-2018.11.10)] 2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) - A multiple classifiers-based approach to palmvein identification
摘要： The usual trend for the conventional palmvein recognition techniques is first to extract discriminative hand-crafted feature representations from the raw images, and then feed a classifier with them. Unfortunately, it is not yet clear how the effectiveness of such features may be held in case of a large user population or in environments where the variability among acquisitions of the same person may increase. In order to face with this problem, it may be considered that the use of multiple classifiers may increase the recognition performance with respect to that of the best individual classifier, and also may handle the problem of an effective feature extraction step. In this paper, we explore the ensemble classifier approach based on Random Subspace Method (RSM), where the basic feature space is derived after a preliminary feature reduction step on the source image, and compare results achieved with and without the use of hand-crafted features. Experimental results allow us concluding that this approach leads to better results under different environmental conditions.
关键词： Image processing,palmvein recognition,features,multiple classifiers
更新于2025-09-19 17:15:36
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Nondestructive imaging of hidden defects in aircraft sandwich composites using terahertz time-domain spectroscopy
摘要： Aircraft sandwich composites are superior to ordinary composites and have been largely used in the manufacture of military aircraft. This study attempts to investigate the efficacy of terahertz (THz) time-domain spectroscopy (TDS) imaging technology in detecting hidden defects in aircraft glass fiber (GF) sandwich composites. The defects of various sizes, such as debonding, delamination, and multi-delamination, at different depths in GF A-sandwich structure composites with foam core, C-sandwich structure composites with honeycomb core, and sheet-to-sheet cementing structure composites were evaluated. The THz frequency-domain amplitude and time-domain amplitude imaging algorithms were used to visualize the defects simulated by ultrathin double-layer Teflon inserts. And the suitable image processing methods which include wavelet-based fusion and multiscale edge representation were employed. With a combination of high-resolution THz C-scan and B-scan imaging, both the horizontal size and location, and the vertical depth and thickness of the defects were obtained in three dimensions. This study experimentally demonstrated that THz imaging technology can clearly detect various hidden defects in aircraft GF sandwich composites through reflection or transmission imaging mode.
关键词： image processing,debonding,multi-delamination,Aircraft sandwich composites,terahertz time-domain spectroscopy,nondestructive testing
更新于2025-09-19 17:15:36
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[IEEE 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE) - Novosibirsk (2018.10.2-2018.10.6)] 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE) - Algorithmization of the Spatial Method of Image Enhancement Based on Aligning the Brightness Histograms
摘要： A detailed analysis and description of the algorithm of the spatial method of image enhancement is carried out on the basis of alignment of their brightness histograms. There is an increasing use of photo and video equipment, as well as image processing methods in various branches of human activity. Also, all stages of processing images that are necessary for extracting useful information from them are discussed in detail, while the stage of image enhancement is of particular importance, since the quality of all subsequent stages, such as segmentation and analysis, depends on it. It is noted that such a simple and effective method of image enhancement, which is based on the alignment of brightness histogram, from the point of view of its practical application, is rather poorly described in the specialized literature. To eliminate this gap, the theory on which this method is based was described in detail, and an algorithm implementing it was proposed and described. To verify the correctness of the proposed algorithm, it was implemented in Python 2.7 and tested on various images. The experiment showed that this algorithm improves the image as well as its implementation in the OpenCV computer vision library and the MATLAB package.
关键词： OpenCV,Image processing,brightness histogram
更新于2025-09-19 17:15:36
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[IEEE 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) - Singapore, Singapore (2018.11.18-2018.11.21)] 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) - Virtual Commissioning of Machine Vision Applications in Aero Engine Manufacturing
摘要： New aero engine design puts new demands on the manufacturing methods with increased automation level. Therefore, the use of vision sensors for control and guiding of industrial robots is being increasingly used. In such system, it is need to customise the machine vision system with real components in the real environment which is normally done close to the start-up of the production. This paper addresses a new concept for designing, programming, analysing, testing and verifying a machine vision application early in the design phase, called Virtual Machine Vision. It is based on a robot simulation software where the real machine vision application is simulated before the implementation in the production line. To verify the Virtual Machine Vision concept an advanced stereo vision application was used. Using two captured images from the robot simulated environment, camera calibration, image analysis and stereo vision algorithms are applied to determine a desired welding joint. The information of the weld joint, i.e. robot position and orientation for the weld path, are sent from the machine vision system to the robot control system in the simulation environment and the weld path is updated. The validation of the Virtual Machine Vision concept using the stereo vision application is promising for industrial use, and it is emphasised that the same programs are used in the virtual and real word.
关键词： simulation,robotics,welding,machine vision,image processing,Virtual Machine Vision,stereo vision,camera calibration
更新于2025-09-19 17:15:36
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[IEEE 2018 5th International Conference on Information Science and Control Engineering (ICISCE) - Zhengzhou, China (2018.7.20-2018.7.22)] 2018 5th International Conference on Information Science and Control Engineering (ICISCE) - Parameterized Synthetic Image Data Set for Fisheye Lens
摘要： Based on different projection geometry, a fisheye image can be presented as a parameterized non-rectilinear image. Deep neural networks(DNN) is one of the solutions for extracting the parameters for fisheye image feature expression. However, a number of images are required for training a reasonable prediction model for DNN. In this paper, we propose to extend the scale of the dataset using parameterized synthetic images which effectively boost the diversity of samples and avoid the limitation on the scale. To simulate different viewing angles and distances, we adopt controllable parameterized projection processes on transformation. The reliability of the proposed method is tested with the image captured by a fisheye camera. The synthetic fisheye image dataset is the first dataset that is developed by existing labeled perspective images. It is accessible via: http://www2.leuphana.de/misl/fisheye-data-set/.
关键词： Neural network,Image processing,Fisheye lens,Synthetic data set
更新于2025-09-19 17:15:36