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Non-destructive inspection of aircraft composite materials using triple IR imaging

IFAC-PapersOnLine 2016年第28期49卷 291-296页

作者： Moustakidis, S. Anagnostis, A. Karlsson, P. Hrissagis, K. City University of London London United Kingdom IRETETH Institute for Research and Technology Thessaly CERTH Centre for Research & Technology Hellas Thessaloniki Greece

The wide use of composite materials in a number of industrial sectors has necessitated the development of new nondestructive inspection techniques for both manufacturing quality assurance and in-service damage testing. This paper discusses the development of a new holistic inspection system for aircraft composite materials that is composed of three thermographic cameras (operating at different wavelengths such as Near-infrared, Mid-Wave and Long-Wave) placed on the head of a robotic arm. Different setups were investigated in order to achieve optimal settings for a variety of influencing parameters including camera distance from the surface under investigation, excitation source type and power. Experiments were also conducted to define the effectiveness of each thermographic camera towards a variety of defect types. Advanced image processing algorithms were further developed and deployed to enhance the inspection capabilities of the three cameras and improve the interpretation of the collected thermal images. Future work on validating fusion and machine learning tools, their integration as well as on-site inspections has been planned. © 2016

关键词： Nondestructive examination Aircraft materials Cameras Composite materials Data handling Data processing Fighter aircraft image enhancement Infrared devices Inspection Learning systems Materials testing Quality assurance Thermography (imaging) Thermography (temperature measurement) Aircraft inspections Excitation sources image processing algorithm Influencing parameters Manufacturing quality Non destructive inspection On site inspection Thermographic cameras

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The Rostock Method for Qualitative and Quantitative Evaluation of Intraocular Lenses

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KLINISCHE MONATSBLATTER FUR AUGENHEILKUNDE 2022年第12期239卷 1440-1446页

作者： Elsner, Ricardo Sievers, Jan Kunert, Martin Reiss, Stefan Bohn, Sebastian Schuenemann, Melanie Stolz, Heinrich Guthoff, Rudolf Stachs, Oliver Sperlich, Karsten Univ Med Rostock Klin & Poliklin Augenheilkunde Doberaner Str 140 D-18057 Rostock Germany Univ Rostock Interdisziplinare Fak Leben Licht & Materie Rostock Germany Martin Luther Univ Halle Wittenberg Inst Phys Halle Germany Dietrich Bonhoeffer Klinikum Neubrandenburg Klin Augenheilkunde Neubrandenburg Germany Berliner Hsch Tech Lab Sehhilfen Bereich Opt & Tech Brille Berlin Germany Univ Rostock Inst Phys Rostock Germany

Background For quantitative and qualitative evaluation of the imaging properties of IOLs, axial cross-sectional images can be obtained from the 3-dimensional light distribution by means of an optical bench, as is known from light sheet recordings in fluorescein baths. This paper presents a new image-processing algorithm to enhance the quality of generated axial cross-sectional images, and the two methods are then compared. Material and Methods The 3-dimensional point spread function of a diffractive trifocal IOL (AT LISA tri 839MP, Carl Zeiss Meditec AG, Jena, Germany) was recorded on an optical bench developed in Rostock for different pupil diameters. A specially adapted image processing algorithm was then applied to the measurements, allowing through-focus curves to be generated. In addition, cross-sectional images of the IOLs studied were acquired using the light sheet method in a fluorescein bath. Results The study clearly shows the superiority of the newly developed method over the light sheet method in terms of image quality. In addition to the individual focal points, fine focal structures as well as halos can be made visible in the cross-sectional images obtained using the new method. In the generated through-focus curves, 3 intensity peaks can be identified, which represent the near, intermediate and far focus of the tested MIOL and cannot be represented by light sheet methods. Conclusion The interaction of the optical bench with the developed image processing algorithm allows a more detailed understanding of the image formation and false light phenomena of IOLs, which was restricted by the technical limitations of the existing light sheet method. In addition, other quantities such as the through-focus curve can be derived quantitatively.

关键词： IOL optic bench fluorescein image processing algorithm cross-sectional images 3-D point spread function

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REDUCING CHEMICAL-SHIFT ARTIFACTS IN MRI WITH TIME-VARYING GRADIENTS

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IEEE TRANSACTIONS ON MEDICAL IMAGING 1989年第1期8卷 8-15页

作者： MAEDA, A YOKOYAMA, T Systems Development Laboratory Hitachi and Limited Japan

An image processing algorithm to reduce chemical shift artifacts in MRI (magnetic resonance imaging) with time-varying gradients and to obtain the chemical shift images without increasing the imaging time is presented. It is known that when both gradients in two directions of the imaging plane are time-varying, such as in the spiral-type scanning MRI, the chemical shift artifacts appear as a blurred image. The artifacts cannot be neglected, since the total power of the out-of-focus point spread function (PSF) for the blurred image equals that of the in-focus PSF. The proposed algorithm separates the chemical shift images by iteratively estimating the artifacts under an a priori constraint that the original images should have a real and nonnegative value. Computer simulation results show that the average amplitude of the artifacts can be reduced significantly after several iterations, and that the algorithm works well even when the observation noise exists.

关键词： image processing algorithm C7orf49 gene time varying Chemical Shift Imaging original image image blur Point spread function chemical shift Artifacts

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An Intelligent Vision System for monitoring Security and Surveillance of ATM 12

An Intelligent Vision System for monitoring Security and Sur...

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12 IEEE Int C Elect Energy Env Communications Computer Control

作者： Ray, Sambarta Das, Souvik Sen, Anindya Heritage Inst Technol Dept Elect & Commun Kolkata India

ISBN: (纸本)9781467365406

This paper presents an automated system to increase the security and surveillance of ATM kiosks. Due to the increase of robbery in ATM kiosks, it is important to employ an automated surveillance system to protect and secure the ATM machine from threats. Currently, a camera attached with the ATM unit, records and transmits the video feed to the main server of the bank. Around the clock, this manual surveillance utilizes a lot of bandwidth for transmission. There is waste of memory and late response to emergency situation. Consequently, early detection of the situation is necessary to take preventive measures against an ongoing burglary. In this paper it is possible to detect whether a person is wearing a mask or not. The proposed system is also capable of counting the number of people present inside the ATM kiosk and generate a warning signal, thereby removes a constant human supervision, reducing the storage of unnecessary video feed and transmitting only an anomalous situation, a faster response to a threat by shutting down the ATM machine as soon the system detects the threat.

关键词： computer vision image processing algorithm surveillance machine learning Viola-Jones algorithm

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Automated Angle Detection for Industrial Production Lines Using Combined image processing Techniques

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Intelligent Automation & Soft Computing 2024年第4期39卷 599-618页

作者： Pawat Chunhachatrachai Chyi-Yeu Lin Department of Mechanical Engineering National Taiwan University of Science and TechnologyTaipei106TaiwanChina Center for Intelligent Manufacturing Innovation National Taiwan University of Science and TechnologyTaipei106TaiwanChina

Angle detection is a crucial aspect of industrial automation,ensuring precise alignment and orientation ofcomponents in manufacturing *** the widespread application of computer vision in industrialsettings,angle detection remains an underexplored domain,with limited integration into production *** addresses the need for automated angle detection in industrial environments by presenting a methodologythat eliminates training time and higher computation cost on Graphics processing Unit(GPU)from machinelearning in computer vision(e.g.,Convolutional Neural Networks(CNN)).Our approach leverages advanced imageprocessing techniques and a strategic combination of algorithms,including contour selection,circle regression,polar warp transformation,and outlier detection,to provide an adaptive solution for angle *** configuringthe algorithm with a diverse dataset and evaluating its performance across various objects,we demonstrate itsefficacy in achieving reliable results,with an average error of only 0.5 ***,this error margin is 3.274times lower than the acceptable *** study highlights the importance of accurate angle detection inindustrial settings and showcases the reliability of our algorithm in accurately determining angles,thus contributingto improved manufacturing processes.

关键词： Angle detection image processing algorithm computer vision machine vision industrial automation

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Recognition of Hand Gestures on the Video Stream Based on a Statistical algorithm with Pre-treatment

Recognition of Hand Gestures on the Video Stream Based on a ...

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15th Conference of Open Innovations Association FRUCT

作者： Vitaly, Palochkin Alexander, Maksimovskiy Andrey, Priorov PG Demidov Yaroslavl State Univ Yaroslavl Russia

ISBN: (纸本)9785757704630

The goal of this work is human hand detection and gesture recognition. This is a tremendously difficult task as hands can be very varied in shape and viewpoint, they can de open or closed, they can have different finger articulations. It is proposed a combined method of hand gesture recognition based on a statistical image processing algorithm. As a preprocessing algorithm it was applied Lucas-Kanade method and background subtraction algorithm. Object recognition was performed with using of Haar classifiers. The possibility of using gestures for remote control of various devices with different hands position from the camera location was shown.

关键词： Gesture recognition Hand Gestures Video stream Recognition (Psychology) Combined Method REMOTE CONTROL image processing algorithm Comment

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Toward Scalable Source Level Accuracy Analysis for Floating-point to Fixed-point Conversion 33

Toward Scalable Source Level Accuracy Analysis for Floating-...

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33rd IEEE/ACM International Conference on Computer-Aided Design (ICCAD)

作者： Deest, Gael Yuki, Tomofumi Sentieys, Olivier Derrien, Steven Univ Rennes 1 F-35014 Rennes France Inria Rocquencourt France

ISBN: (纸本)9781479962785

In embedded systems, many numerical algorithms are implemented with fixed-point arithmetic to meet area cost and power constraints. Fixed-point encoding decisions can significantly affect cost and performance. To evaluate their impact on accuracy, designers resort to simulations. Their high running-time prevents thorough exploration of the design-space. To address this issue, analytical modeling techniques have been proposed, but their applicability is limited by scalability issues. In this paper, we extend these techniques to a larger class of programs. We use polyhedral methods to extract a more compact, graph-based representation of the program. We validate our approach with a several image and signal processing algorithms.

关键词： embedded systems fixed point arithmetic floating point arithmetic graph theory signal processing analytical modeling techniques area cost constraints fixed-point arithmetic fixed-point conversion fixed-point encoding decisions floating-point conversion graph-based representation image processing algorithms polyhedral methods power constraints scalability issues scalable source level accuracy analysis signal processing algorithms Accuracy Arrays Convolution Convolutional codes Equations Kernel Mathematical model Fixed-point arithmetic Embedded systems Signal processing algorithms floating point arithmetic Fixed point image processing algorithm convolutional coding Convolution Graph theory signal processing FLOATING POINTS Mathematical Model Kernel

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Three-dimensional active net for volume extraction

Three-dimensional active net for volume extraction

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Conference on Visual Data Exploration and Analysis V

作者： Takanashi, I Muraki, S Doi, A Kaufman, A Mitsubishi Elect Corp Informat Technol R&D Ctr Kamakura Kanagawa 2478501 Japan

ISBN: (纸本)0819427381

3D Active Net;which is a 3D extension of Snakes, is an energy-minimizing surface model which can extract a volume of interest from 3D volume data. It is deformable and evolves in 3D space to be attracted to salient features, according to its internal and image energy. The net can be fitted to the contour of a target object by defining: the image energy suitable for the contour property. We present testing results of the extraction of a muscle from the Visible Human Data by two methods: manual segmentation and the application of 3D Active Net. We apply principal component analysis, which utilizes the color information of the 3D volume data to emphasize an ill-defined contour of the muscle, and then apply 3D Active Net. We recognize that the extracted object has a smooth and natural contour in contrast with a comparable manual segmentation, proving an advantage of our approach.

关键词： volume graphics energy minimization feature extraction image processing algorithm

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Comparative Analysis of Data Merging and Fusion algorithms for the Prediction of Aerosol Optical Depth 23

Comparative Analysis of Data Merging and Fusion Algorithms f...

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Conference on Imaging Spectrometry XXIII - Applications, Sensors, and processing held at SPIE Optical Engineering + Applications Conference

作者： Chang, Ni-Bin Wei, Xiaoli Bai, Kaixu Gao, Wei Univ Cent Florida Dept Civil Environm & Construct Engn Orlando FL 32816 USA East China Normal Univ Key Lab Geog Informat Sci Minist Educ Shanghai 200241 Peoples R China East China Normal Univ Sch Geog Sci Shanghai 200241 Peoples R China Colorado State Univ Dept Ecosyst Sci & Sustainabil Ft Collins CO 80523 USA

ISBN: (数字)9781510629547

ISBN: (纸本)9781510629530;9781510629547

Data fusion algorithms help extract information from "asynchronous" time series satellite data whereas data merging data help extract information from "synchronous" time series satellite data into a series of synthetic images by using the temporal, spatial, or even spectral properties. Such data fusion algorithms including Bayesian maximum entropy (BME) and spatial and temporal adaptive reflectance fusion model (STARFM) have greatly improved the coverage, enhancing data application potential with higher spatiotemporal resolution via multi-sensor earth observations. The goal of this study is to assess the utility of BME and modified BME algorithm with the aid of a data merging algorithm called Modified Quantile-Quantile Adjustment (MQQA), in comparison with STARFM for the retrieval of Aerosol Optical Depth in an urban environment. MQQA heavily counts on big data to support the systematic bias correction from "synchronous" time series satellite data. Such assessment of algorithmic efficiency needs to be carried out for both top of atmosphere reflectance and ground reflectance levels in support of the deep blue method for the retrieval of atmospheric optical depth at the ground level.

关键词： AOD prediction data fusion data merging big data image processing algorithm

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A New Shear Wave Imaging System for Ultrasound Elastography 37

A New Shear Wave Imaging System for Ultrasound Elastography

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37th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Qiu, Weibao Wang, Congzhi Xiao, Yang Qian, Ming Zheng, Hairong Chinese Acad Sci Shenzhen Inst Adv Technol Paul C Lauterbur Res Ctr Biomed Imaging Shenzhen 518055 Peoples R China

ISBN: (纸本)9781424492701

Ultrasound elastography is able to provide a non-invasive measurement of tissue elasticity properties. Shear wave imaging (SWI) technique is a quantitative method for tissue stiffness assessment. However, traditional SWI implementations cannot acquire 2D quantitative images of tissue elasticity distribution. In this study, a new shear wave imaging system is proposed and evaluated. Detailed delineation of hardware and image processing algorithms are presented. Programmable devices are selected to support flexible control of the system and the image processing algorithms. Analytic signal based cross-correlation method and a Radon transform based shear wave speed determination method are proposed with parallel computation ability. Tissue mimicking phantom imaging, and in vitro imaging measurements are conducted to demonstrate the performance of the proposed system. The system has the ability to provide a new choice for quantitative mapping of the tissue elasticity, and has good potential to be implemented into commercial ultrasound scanner.

关键词： SWI Ultrasound Elastography image processing algorithms image processing algorithm SMARCA1 gene SEISMIC S WAVES ultrasound scanner Elasticity Imaging Techniques Imaging systems control systems correlation methods

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