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IEEE International Conference on image processing

作者： Joao M. Santos Andre F. R. Guarda Nuno M. M. Rodrigues Sergio M. M. Faria Instituto de Telecomunicacoes ESTG Instituto Politecnico de Leiria

ISBN: (纸本)9781479983407

Medical imaging compression is experiencing a growth in terms of usage and image resolution, namely in diagnostics systems that require a large set of images, like MRI or CT. Furthermore, legal and diagnosis restrictions impose the use of lossless compression and data archival for several years. These facts create a demand for more efficient compression tools, used for archiving and communication. In this work, we first evaluate the performance of traditional medical image compression algorithms against that of recent state of the art lossless image encoders. We then propose a method to improve the Minimum Rate Predictors lossless encoder, by exploiting inter picture redundancy in volumetric anatomical images. Results show that the proposed method is more efficient than state of the art encoders, such as HEvC, by about 28.8%, and achieves a gain of up to 57.8% in compression ratio when compared with traditional methods.

关键词： DICOM Lossless compression Medical imaging MRP Medical imaging lossless compression digital imaging and communications in medicine Material requirements planning images ENCODER image compression algorithm state of the art image resolution

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Cooperative, event-driven control of a football table

Cooperative, event-driven control of a football table

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International Conference on Event-based Control, Communication, and Signal processing (EBCCSP)

作者： Stephan Höme Klaus Theuerkauf Holger Zipper Otto-von-Guericke-University Magdeburg Institute for Automation Engineering Magdeburg Germany IFAK - Institut für Automation und Kommunikation E.V.. Magdeburg Germany

Time critical systems like all modern electric drives pose high demands onto control devices. For easier reconfiguration and better performance by load balancing the distribution of control is introduced. While the synchronization of algorithms is already hard on single control nodes the data handling on distributed systems is even harder. To approach this challenge the data handling could be solved by an event-driven middleware that propagates the data on change through the system. The possibilities of an event driven middleware are shown in a rebuild automated tabletop football table. One opponent is played by a distributed control with computer vision and electric drives to handle the bars. This project and its underlaid event based middleware is presented in this article.

关键词： Middleware Games Cameras DC motors image processing Automation Control systems

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Models of formation and some algorithms of hyperspectral image processing

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IZvESTIYA ATMOSPHERIC AND OCEANIC PHYSICS 2014年第9期50卷 867-877页

作者： Achmetov, R. N. Stratilatov, N. R. Yudakov, A. A. vezenov, v. I. Eremeev, v. v. State Res & Prod Space Rocket Ctr TsSKB Progress Samara Russia Ryazan State Radio Engn Univ Ryazan Russia

algorithms and information technologies for processing Earth hyperspectral imagery are presented. Several new approaches are discussed. Peculiar properties of processing the hyperspectral imagery, such as multifold signal-to-noise reduction, atmospheric distortions, access to spectral characteristics of every image point, and high dimensionality of data, were studied. Different measures of similarity between individual hyperspectral image points and the effect of additive uncorrelated noise on these measures were analyzed. It was shown that these measures are substantially affected by noise, and a new measure free of this disadvantage was proposed. The problem of detecting the observed scene object boundaries, based on comparing the spectral characteristics of image points, is considered. It was shown that contours are processed much better when spectral characteristics are used instead of energy brightness. A statistical approach to the correction of atmospheric distortions, which makes it possible to solve the stated problem based on analysis of a distorted image in contrast to analytical multiparametric models, was proposed. Several algorithms used to integrate spectral zonal images with data from other survey systems, which make it possible to image observed scene objects with a higher quality, are considered. Quality characteristics of hyperspectral data processing were proposed and studied.

关键词： hyperspectral imagery image fusion segmentation classification atmospheric correction

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BSwarm Robot - A Low Cost Mobile Wireless Sensor Research Platform Using COTS Products

BSwarm Robot - A Low Cost Mobile Wireless Sensor Research Pl...

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IEEE International Conference on Signal processing, Informatics, Communication and Energy systems

作者： K. R. Anupama Meetha v. Shenoy Ch. S. Sankhar Reddy Department of E.E.E/E&I Goa India Birla Institute of Technology and Science - Hyderabad Campus Hyderabad Telangana IN

MWSN is an emerging area of research and most of the work in the field of MWSN is done at the simulation level as there is hardly any cost effective hardware platform (node/mote) available for MWSN applications. To handle mobility, the MWSN node should be much more efficient than the nodes in static WSN. Moreover, a MWSN node should be capable of handling real time mobility control, path planning and navigation. The application domains of MWSN can be further expanded by incorporating swarm like intelligence in MWSN. We have developed a low cost, small form factor hardware platform which will function as a node in MWSN using custom off the shelf (COTS) products. Our mobile hardware platform, henceforth called as BSwarm robot supports self-assembly, to achieve complex tasks. The platform also support image assisted navigation and provides extensive I/O support for further feature expansion. The testbed consisting of multiple BSwarm robot can be utilized for the development and validation of algorithms/protocols related to MWSNs, distributed control of Swarm robots, real time image processing etc. BSwarm robot is a multi processor based robot designed in such a way that it can be used for applications which may demand varied degree of processing, communication and input-output capabilities. This paper also highlights major factors that can be taken into consideration while choosing the hardware platform for MWSNs so that the protocol stack development for MWSNs becomes easier.

关键词： Robot sensing systems Wireless sensor networks Hardware Microcontrollers Mobile robots Navigation

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Semi-supervised Sequence Learning 15

Semi-supervised Sequence Learning

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Annual Conference on Neural Information processing systems

作者： Andrew M. Dai Quoc v. Le Google Inc.

ISBN: (纸本)9781510825024

We present two approaches to use unlabeled data to improve Sequence Learning with recurrent networks. The first approach is to predict what comes next in a sequence, which is a language model in NLP. The second approach is to use a sequence autoencoder, which reads the input sequence into a vector and predicts the input sequence again. These two algorithms can be used as a "pretraining" algorithm for a later supervised sequence learning algorithm. In other words, the parameters obtained from the pretraining step can then be used as a starting point for other supervised training models. In our experiments, we find that long short term memory recurrent networks after pretrained with the two approaches become more stable to train and generalize better. With pretraining, we were able to achieve strong performance in many classification tasks, such as text classification with IMDB, DBpedia or image recognition in CIFAR-10.

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PMMW image SUPER RESOLUTION FROM COMPRESSED SENSING OBSERvATIONS

PMMW IMAGE SUPER RESOLUTION FROM COMPRESSED SENSING OBSERVAT...

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European Signal processing Conference

作者： Wael Saafin Salvador villena Miguel vega Rafael Molina Aggelos K. Katsaggelos Dept. of Computer Science and Artificial Intellegence University of Granada Dept. of Languages and Information Systems University of Granada Dept. of Electrical Engineering and Computer Science Northwestern University

ISBN: (纸本)9781479988518

In this paper we propose a novel optimization framework to obtain High Resolution (HR) Passive Millimeter Wave (P-MMW) images from multiple Low Resolution (LR) observations captured using a simulated Compressed Sensing (CS) imaging system. The proposed CS Super Resolution (CSS-R) approach combines existing CS reconstruction algorithms with the use of Super Gaussian (SG) regularization terms on the image to be reconstructed, smoothness constraints on the registration parameters to be estimated and the use of the Alternate Direction Methods of Multipliers (ADMM) to link the CS and SR problems. The image estimation subproblem is solved using Majorization-Minimization (MM), registration is tackled minimizing a quadratic function and CS reconstruction is approached as an l_1-minimization problem subject to a quadratic constraint. The performed experiments, on simulated and real PMMW observations, validate the used approach.

关键词： Passive millimeter-wave Compressive sensing Super resolution image restoration super-resolution Compressed sensing image restoration technique millimeter wave images CONTAINMENT SPRAY carbon monosulfide Cesium conditioned stimulus Resolving power COMPRESSED Quadratics

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Hardware-Software Complex for the Analysis of a Nonuniform Flow of Objects in Real-Time Optical Sorting systems

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MEASUREMENT TECHNIQUES 2014年第5期57卷 509-518页

作者： Algazinov, E. K. Dryuchenko, M. A. Minakov, D. A. Sirota, A. A. Shul'gin, v. A. Voronezh State Univ Voronezh 394693 Russia

A nonuniform flow of objects is analyzed based on processing of images synthesized from the results of line-by-line scanning of an illuminated flow in optical sorting systems. A hardware-software complex that functions in real time simultaneously with a sorting system in a combined mode of analysis of images of the flow based on proposed preliminary processing and recognition algorithms is described. Experimental results of these algorithms for the case of an analysis of a flow of components of grain mixtures are presented.

关键词： optical sorting recognition of objects image processing neural networks

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MEDIAN ROBUST EXTENDED LOCAL BINARY PATTERN FOR TEXTURE CLASSIFICATION

MEDIAN ROBUST EXTENDED LOCAL BINARY PATTERN FOR TEXTURE CLAS...

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IEEE International Conference on image processing

作者： Li Liu Paul Fieguth Matti Pietikainen Songyang Lao School of Information System and Management National University of Defense Technology Department of Systems Design Engineering University of Waterloo Center for Machine Vision Research Department of Computer Science and Engineering University of Oulu

ISBN: (纸本)9781479983407

Local Binary Patterns (LBP) are among the most computationally efficient amongst high-performance texture features. However, LBP is very sensitive to image noise and is unable to capture macrostructure information. To best address these disadvantages, in this paper we introduce a novel descriptor for texture classification, the Median Robust Extended Local Binary Pattern (MRELBP). In contrast to traditional LBP and many LBP variants, MRELBP compares local image medians instead of raw image intensities. We develop a multiscale LBP-type descriptor by efficiently comparing image medians over a novel sampling scheme, which can capture both microstructure and macrostructure. A comprehensive evaluation on benchmark datasets reveals MRELBP's remarkable performance (robust to gray scale variations, rotation changes and noise) relative to state-of-the-art algorithms, but nevertheless at a low computational cost, producing the best classification scores of 99.82%, 99.38% and 99.77% on three popular Outex test suites. Furthermore, MRELBP is also shown to be highly robust to image noise including Gaussian noise, Gaussian blur, Salt-and-Pepper noise and random pixel corruption.

关键词： Texture classification Feature extraction Local binary pattern Local descriptors Median filtering Feature extraction binary pattern image noise LBP gene LBP median filters Binary Median image INTENSITY textures MACROSTRUCTURES

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Fuzzy Inference System Based Robust Digital image Watermarking Technique Using Discrete Cosine Transform

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Procedia Computer Science 2015年 46卷 1618-1625页

作者： B. Jagadeesh P. Rajesh Kumar P. Chenna Reddy E.C.E.Department G.V.P.College of Engineering Visakhapatnam A.P. India E.C.E.Department Andhra University Visakhapatnam A.P. India C.S.E.Department JNTUA College of Engineering Pulivendula Kadapa A.P. India

Digital Watermarking has evolved as one of the latest technologies for digital media copyright protection. Watermarking of images can be done in many ways and one of the proposed algorithms for image watermarking is by utilizing Fuzzy Logic. It is similar to the concept of a Fuzzy set, each element can be defined by an ordered pair, in which one is the value and other is the membership function value. Fuzzy logic systems can explain inaccurate information and explain their decisions. Fuzzy inference system is the simplest way of performing Fuzzy Logic. In the proposed method, three Fuzzy inference models are used to generate the weighing factor for embedding the watermark and input to the Fuzzy Inference System is taken from the Human visual System model. The Performance measures used in the Process are Peak Signal to Noise Ratio, Normalized Cross Correlation. The Proposed algorithm is immune to various image processing attacks.

关键词： Digital image Watermarking Discrete Cosine Transform Human visual System Fuzzy Inference System Normalized Cross Correlation Peak Signal to Noise Ratio.

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A case study of OpenCL-based parallel programming for low-power remote sensing applications

A case study of OpenCL-based parallel programming for low-po...

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International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

作者： A. Castro Angulo R. Carrasco Alvarez J. Ortegón Aguilar J. vázquez Castillo O. Palma Marrufo A. Castillo Atoche Department of Mechatronics Universidad Autónoma de Yucatán Mérida Yuc. México Department of Electronics Universidad de Guadalajara Guadalajara Jal. México Science Division and Engineering Universidad de Quintana Roo Chetumal Quintana Roo México

With the advent of high-performance embedded computing (HPEC) systems, many digital processing algorithms are now implemented by special-purpose massively parallel processors. In this paper, a low-power ARM/GPU co-design architecture is addressed using OpenCL-based parallel programming for implementing complex reconstructive signal processing operations. Such operations are accelerated using data-parallel functions on the GPU and ARM processor, in a HW/SW co-design scheme via OpenCL API calls. Experimental results shows the achieved computational performance and the effectiveness of the OpenCL standard comparing the framework against traditional parallel embedded versions.

关键词： Graphics processing units image reconstruction Computer architecture Remote sensing Signal processing algorithms Real-time systems

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