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IEEE International conference on Imaging systems and Techniques (IST)

作者： Karagiannis, Georgios Karamanos, Theodosios Athanasopoulos, Emmanouil Panayiotou, Konstantinos Amanatiadis, Stamatios Apostolidis, Georgios Karagiannis, Theodoros ORMYLIA Fdn Art Diag Ctr Ormylia Chalkidiki Greece FEAQUS 5th Ave Griva Digeni Larnax Cyprus Diag Multisyst N Moudania Chalkidiki Greece

ISBN: (纸本)9781538666289

In this paper, an new setup for the non-destructive scanning for cultural heritage applications is proposed. First, a multi-degree of freedom mechanical implementation is designed, for multiple angle and distance scanning of artworks via different modalities. Moreover, a specialized acquisition and control software is developed consequently created for the unified platform. Additionally, various, onboard, post-processing image registration algorithms are realized for the combination of images originating on various sensors. The final setup is tested on a mock-up icon, verifying the merits of the developed prototype for cultural heritage science work and research.

关键词： heritage science non destructive testing spectroscopy ultrasound image processing mapping tomography

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Industrial image processing Applications as Orchestration of Web Services 7th

Industrial Image Processing Applications as Orchestration of...

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7th CIRP conference on Assembly Technologies and systems (CATS) - Intelligent Assembly systems

作者： Rudorfer, Martin Krueger, Joerg Tech Univ Berlin PTZ5Pascalstr 8-9 D-10587 Berlin Germany

Contemporary production lines often make extensive use of image recognition to achieve high levels of automation. Shorter product life cycles and smaller lot sizes force companies to adapt their processes very quickly. Still, industrial image processing algorithms typically run on dedicated computer systems next to the cameras, which is rather inflexible and leads to high costs for hardware and maintenance. In this paper, we propose a service -based architecture to tackle these problems. We divide image processing applications into universal building blocks, each of which is implemented as web service. The recognition application is conceived as a composition of these services, orchestrated using the Business Process Execution Language (BPEL). The composed application is provided with a standard industrial interface (OPC UA) for easy integration into the production process. This concept is evaluated by assessing proof-of-concept implementations. Main advantages (among others) are the flexible reuse of existing image processing operations and applications, and the freedom to implement services independently using the preferred language, framework and platform. Challenges are real-time constraints, which can be alleviated by emerging technologies like Time Sensitive Networking (TSN). (C) 2018 The Authors. Published by Elsevier B.V.

关键词： image processing Orchestration Web Services BPEL WSDL

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Learning Surrogate Models of Document image Quality Metrics for Automated Document image processing 13

Learning Surrogate Models of Document Image Quality Metrics ...

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13th IAPR International Workshop on Document Analysis systems (DAS)

作者： Singh, Prashant Vats, Ekta Hast, Anders Uppsala Univ Dept Informat Technol SE-75105 Uppsala Sweden

ISBN: (纸本)9781538633465

Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality metrics in applications such as hyperparameter optimization of image processing algorithms that operate on-the-fly on unseen documents. This work proposes the use of surrogate models to learn the behavior of a given document quality metric on existing datasets where ground truth images are available. The trained surrogate model can later be used to predict the metric value on previously unseen document images without requiring access to ground truth images. The surrogate model is empirically evaluated on the Document image Binarization Competition (DIBCO) and the Handwritten Document image Binarization Competition (H-DIBCO) datasets.

关键词： surrogate models document image quality metrics hyperparameter optimization

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Joint reconstruction and material classification in spectral CT 3

Joint reconstruction and material classification in spectral...

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conference on Anomaly Detection and Imaging with X-Rays (ADIX) III

作者： Babaheidarian, Parisa Castanon, David A. Boston Univ Elect & Comp Engn Boston MA 02215 USA

ISBN: (数字)9781510617766

ISBN: (纸本)9781510617766

Detecting the presence of hazardous materials in luggage is an important problem in aviation security. The current generation of inspection systems is based on X-ray computed tomography, followed by recognition systems to identify potential prohibited materials. As such, the image formation algorithms are designed independently of the recognition algorithms. In this paper, we present a new class of algorithms for processing the X-ray data by simultaneously forming images from the collected X-ray observations and identifying the underlying materials in the images. These algorithms exploit information about the possible materials in the image to modify the image reconstruction techniques, as well as material identification. We evaluate our joint algorithm on simulated phantoms using multi-spectral computed tomography, and compare our reconstruction and classification results with alternative state of the art approaches. Our experiments indicate that there are significant improvements in recognition performance possible through our joint approach.

关键词： computed tomography multi-spectral tomography inverse problems image formation luggage inspection threat detection

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image De-Raining for Driver Assistance systems using U-Net based GAN

Image De-Raining for Driver Assistance Systems using U-Net b...

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IEEE International conference on Signal processing, Information, Communication & systems (SPICSCON)

作者： Ojas A. Ramwala Chirag N. Paunwala Mita C. Paunwala Electronics Engineering SVNIT Surat India E & C Engineering SCET Surat India E & C. Engineering CKPCET Surat India

ISBN: (数字)9781728142944

ISBN: (纸本)9781728142951

The visual appeal of images gets deteriorated when captured under unfavorable weather conditions thus rendering them unsuitable for optimum performance on vision-based systems. Performance of Driver Assistance systems (DAS) depends on the quality of the images fed to the computer vision algorithms. This paper attempts to leverage generative modelling capabilities of Generative Adversarial Networks by utilizing special architectures for generator and discriminator. The loss function utilized is the efficient pixel mean square loss. Discriminator used here is a standard binary cross-entropy classifier intended to classify whether the predicted de-rained image of the generator matches the real high-resolution image or not. The generator network is a Fully Convolutional U-Net architecture. Experiments indicate that the proposed architecture produces de-rained images indistinguishable from their clean images using only 30 epochs and performs better than various novel approaches.

关键词： Generators Gallium nitride Computer architecture Rain Generative adversarial networks conferences Computer vision

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An embedding framework for video reconstruction using Gaussian mixture models

An embedding framework for video reconstruction using Gaussi...

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IEEE Global conference on Signal and Information processing (GlobalSIP)

作者： Vahid Khorasani Ghassab Nizar Bouguila Concordia institute for information and systems engineering Concordia University Montreal Canada

In this paper, we propose a novel video reconstruction methodology which is built based on alternating direction method of multipliers (ADMM) algorithm. In this regard, a new enhanced ADMM model has been used which permits the user to apply image or video reconstruction techniques as sub-problems being embedded to a denoising methodology. Correspondingly, we use conventional compressive sensing (CS) based Gaussian mixture models (GMM) as a subproblem of our proposed framework. On the other hand, sparse 3D transform-domain block matching (BM3D) is used as the denoiser of algorithm in order to remove the remaining artifacts and noise in the reconstructed video frames. Consequently, by considering both online and offline CS-based GMM frameworks, we are able to make two forms of GMM based video reconstruction algorithms which are represented as online and offline structures. Using the proposed algorithms, video reconstruction is more satisfactory in terms of visual quality in comparison with other state of the art techniques.

关键词： Two dimensional displays Streaming media Three-dimensional displays image reconstruction Dictionaries Noise reduction Noise measurement

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video processing in real-time in FPGA 12

Video processing in real-time in FPGA

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12th conference of Optics and Photonics for Information processing

作者： Morales, Erick Herrera, Roberto Inst Politecn Nacl Ctr Invest & Desarrollo Tecnol Digital Av Inst Politecn Nacl 1310 Mesa De Otay 22510 Tijuana Baja Ca Mexico

ISBN: (数字)9781510620742

ISBN: (纸本)9781510620742

In computational vision has a high computational cost, although, some algorithms had been implemented to get image features, that allow assorting, object and face recognition and so on. Some solutions have been developed in computers, DSP and GPU those that are not optimal with time. In order to improve the performance of these algorithms, we are implementing the SURF algorithm in embedded systems (FPGA) and applied to non-controller environments that require real-time response. In this work we development a SURF algorithm in order to improve time processing in video and image processing, we use an FPGA to apply that algorithm, we compare the time processing with different devices and the features found it into the images, this features will be invariant to scale, rotation and lighting, the SURF algorithm localize the interest points (features), its is using in facial recognition, object detection, stereo vision and so on. This algorithm has a high computational cost because of use a lot of data, in order to reduce the high cost we implemented LUTs and reduce time with code. With this work we try to find the best way to implement the algorithm into embedded systems, in order to use in non-controller environments and robots autonomous.

关键词： image filtering image processing Field programmable gate arrays Detection and tracking algorithms

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Fault Tolerant Control of an Industrial Manufacturing Process Using image processing

Fault Tolerant Control of an Industrial Manufacturing Proces...

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IEEE International conference on Environment and Electrical Engineering (EEEIC) / IEEE Industrial and Commercial Power systems Europe (ICPS Europe)

作者： Siam, Jamal Abdo, Ali Abdou, Ahmed Al-Rimawi, Ashraf Shehadeh, Hakam Birzeit Univ Elect & Comp Engn Dept Birzeit Palestine Al Quds Univ Elect & Commun Engn Dept Jerusalem Palestine

ISBN: (纸本)9781538651865

This paper proposes a fault-tolerant control technique, for industrial applications, based on image processing. It is known that, sensor faults disturb the normal sequences of manufacturing operations. This causes a serious delay in the manufacturing process, or even it terminated for maintenance. Cameras with ad-hoc video and image processing algorithms can be used to detect and track objects, thus they can play the role of sensors in industrial application. The proposed technique uses visual information, collected by cameras, to raise the fault-tolerant of the manufacturing system. The visual information is used to generate a redundant sensing signal to substitute the faulty-sensor signal in case of faults. The main advantages of the proposed technique are: the continuity throughout the manufacturing process as well as the detection and isolation of faulty-sensors. The proposed technique was applied to a real production line model to illustrate its performance.

关键词： image processing fault tolerant control manufacturing process fault detection

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3D image RECONSTRUCTION FROM MULTI-FOCUS MICROSCOPE: AXIAL SUPER-RESOLUTION AND MULTIPLE-FRAME processing

3D IMAGE RECONSTRUCTION FROM MULTI-FOCUS MICROSCOPE: AXIAL S...

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IEEE International conference on Acoustics, Speech and Signal processing (ICASSP)

作者： Yoo, Seunghwan Ruiz, Pablo Huang, Xiang He, Kuan Ferrier, Nicola J. Hereld, Mark Selewa, Alan Daddysman, Matthew Scherer, Norbert Cossairt, Oliver Katsaggelos, Aggelos K. Northwestern Univ Dept Elect Engn & Comp Sci Evanston IL 60208 USA Argonne Natl Lab Math & Comp Sci Div Lemont IL 60439 USA Univ Chicago Dept Chem 5735 S Ellis Ave Chicago IL 60637 USA

ISBN: (纸本)9781538646588

Multi-focus microscope (MFM) provides a way to obtain 3D information by simultaneously capturing multiple focal planes. The naive method for MFM reconstruction is to stack the sub-images with alignment. However, the resolution in the z-axis in this method is limited by the number of acquired focal planes. In this work we build on a recent reconstruction algorithm for MFM, using information from multiple frames to improve the reconstruction quality. We propose two multiple-frame MFM image reconstruction algorithms: batch and recursive approaches. In the batch approach, we take multiple MFM frames and jointly estimate the 3D image and the motion for each frame. In the recursive approach, we utilize the reconstructed image from the previous frame. Experimental results show that the proposed algorithms produce a sequence of 3D object reconstruction with high quality that enable reconstruction of dynamic extended objects.

关键词： Multi-focus microscopy 3D image reconstruction total variation multi-frame image reconstruction

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Exploring DNS, HTTP, and ICMP Response Time Computations on Brain Signal/image Databases using a Packet Sniffer Tool

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IEEE ACCESS 2018年 6卷 59672-59678页

作者： Elamaran, V Arunkumar, N. Babu, G. Venkat Balaji, V. S. Gomez, Jorge Figueroa, Cristhian Ramirez-Gonzalez, Gustavo SASTRA Deemed Univ Sch EEE Thanjavur 61341 India Univ Cordoba Syst Dept Cordoba 14071 Colombia Univ Cauca Telemat Dept Popayan 190001 Colombia

Neurological signal processing is of significance not only the physiologist doing research and the clinician investigating patients but also to the biomedical engineer who is needed to collect, process, and interpret the physiological signals by prototyping systems and algorithms for their manipulations. While it is a fact that there does hold immense stuff (material) on the subject of digital neurological signal processing, however, it is dispersed in various scientific, technological, and physiological journals, databases also in various international conference proceedings. Consequently, it is a quite hard, more time-consuming, and often tiresome job, especially to the stranger to the domain Hence, this study concentrates on how much time would require to access the databases belong to the brain signal/image collections, neurological signals, etc. The sixteen US-based Servers, ten UK-based Servers, and the five Servers from other countries are included in this study. Mainly, the domain name system, hyper text transfer protocol, and the Internet control message protocol query/response times are analyzed using a popular packet sniffer called Wireshark.

关键词： Brain signal/image DNS HTTP ICMP packet sniffer Wireshark

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