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Conference on Sensors, systems, and Next-Generation Satellites XX

作者： Akhmedov, D. Yelubayev, S. Ten, v. Bopeyev, T. Alipbayev, K. Sukhenko, A. AALR Inst Space Tech & Technol 34 Kislovodskaya Str Alma Ata 050061 Kazakhstan

ISBN: (数字)9781510604056

ISBN: (纸本)9781510604049;9781510604056

Currently the specialists of Kazakhstan have been developing the star tracker that is further planned to use on Kazakhstani satellites of various purposes. At the first stage it has been developed the experimental model of star tracker that has following characteristics: field of view 20 degrees, update frequency 2 Hz, exclusion angle 40 degrees, accuracy of attitude determination of optical axis/around optical axis 15/50 arcsec. Software and mathematical support are the most high-technology parts of star tracker. The results of software and mathematical support development of experimental model of Kazakhstani star tracker are represented in this article. In particular, there are described the main mathematical models and algorithms that have been used as a basis for program units of preliminary image processing of starry sky, stars identification and star tracker attitude determination. The results of software and mathematical support testing with the help of program simulation complex using various configurations of defects including image sensor noises, point spread function modeling, optical system distortion up to 2% are presented. Analysis of testing results has shown that accuracy of attitude determination of star tracker is within the permissible range.

关键词： star tracker software and mathematical support program simulation complex development testing

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video segmentation in presence of static and dynamic textures 14

Video segmentation in presence of static and dynamic texture...

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image processing: algorithms and systems XIv 2016

作者： Frantc, v.A. Makov, S.v. voronin, v.v. Marchuk, v.I. Stradanchenko, S.G. Egiazarian, K.O. Don State Technical university Dept. of Radio-Electronics Systems Gagarina 1 Rostov on Don344010 Russia Dept. of Signal Processing Tampere University of Technology Korkeakoulunkatu 1 TampereFI-33720 Finland

This paper describes an approach to video sequence over–segmentation. The objective is to split the video up to set of disjoint spatio–temporal regions with homogeneous texture properties. In the work we consider three possible types of regions: static texture, dynamic texture and non-textured region. video over-segmentation is useful for wide range of applications, including perceptual video coding, video-based object recognition and high-level video segmentation. We treat the problem as a labeling problem on a Markov Random Field. Observed data are represented by output of fully-connected layer of convolutional neural network trained on static and dynamic textures. The hidden States of our model represent appropriate region labels. To provide robust over-segmentation we employ energy function composed of terms associated with neighboring voxels similarity and smoothness of obtained supervoxels. We show that our approach is able to segment static and dynamic textures in simultaneous fashion. We have tested our approach on several video sequences rich of static and dynamic textures and it has shown promising results. © 2016 Society for Imaging Science and Technology.

关键词： Object recognition

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An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm

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JOURNAL OF systems ARCHITECTURE 2016年第0期68卷 1-16页

作者： Cambuim, Lucas F. S. Macieira, Rafael M. Neto, Fernando M. P. Barros, Edna Ludermir, Teresa B. Zanchettin, Cleber Univ Fed Pernambuco Informat Ctr Ave Jornalista Anibal FernandesS-N Cidade Univ Recife PE Brazil

Millions of people throughout the world describe themselves as being deaf. Some of them suffer from severe hearing loss and consequently use an alternative manner with which to communicate with society by means of either written or visual language. There are several sign languages capable of dealing with such a need. Nonetheless, a communication gap still exists even when using such languages, since only a small fraction of the population is able to use them. Over the last few years, due to the increasing need for universal accessibility when using computational resources, gesture recognition has been widely researched. Thus, in an attempt to reduce this communication gap, our approach proposes a computational solution in order to translate static gesture symbols into text symbols, through computer vision, without the use of hand sensors or gloves. In order to guarantee the highest quality, with emphasis on the reliability of the system and real-time translation, we have developed an approach based on the Extreme Learning Machine (ELM) pattern recognition algorithms fully implemented in hardware, and have assessed it to measure these two metrics. Hardware components were designed in order to perform the best image processing and pattern recognition tasks used within the project. As a case study, and so as to validate the technique, a recognition system for the Brazilian Sign Language (LIBRAS) was implemented. Besides ensuring that this approach could be used for any static hand gesture symbol recognition, our main goal was to guarantee fast, reliable gesture recognition for communication between humans. Experimental results have demonstrated that the system is able to recognize LIBRAS symbols with an accuracy of 97%, a response time of 6.5ms per letter recognition, and using only 43% (about 64,851 logic elements) of the FPGA area. (C) 2016 Elsevier B.v. All rights reserved.

关键词： Embedded systems Computer vision Neural network FPGA

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Marine vessel Detection Comparing GPRS and Satellite images for Security Applications

Marine Vessel Detection Comparing GPRS and Satellite Images ...

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IEEE International Conference on Wireless Communications, Signal processing and Networking (WiSPNET)

作者： Amabdiyil, Sajan Thomas, Dintu Pillai, v. P. Mahadevan Ctr Dev Imaging Technol Opt Image Proc & Secur Prod Thiruvanthapuram 695027 Kerala India SCMS Sch Engn & Technol Dept Commun Engn Ernakulum Kerala India Univ Kerala Dept Optoelect Thinivanthapuram 69558 Kerala India

ISBN: (纸本)9781467393379

Unauthorized and unregistered sea going fishing vessels are being used for criminal activities in the coastal areas. The issue of piracy against merchant ships using illegal fishing vessels poses a significant threat to world shipping. Unfortunately counter piracy efforts and maritime security of our own and other nation enforcement often affects the innocent fishermen who conduct the trans-border fishing. Hence a proper vessel monitoring system is required to protect the maritime security without tampering the routine fishing activity of the sea going fishermen. This paper discusses about the feasibility of a system for the detection of registered marine fishing vessels comparing the satellite images and GPRS signal information. A review on various algorithms for identifying marine boats from satellite images is also conducted in this paper.

关键词： vessel Monitoring systems Satellite images GPRS Trans-border fishing

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WIT: Window Intensity Test Detector and Descriptor 11

WIT: Window Intensity Test Detector and Descriptor

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11th International Conference on Industrial and Information systems (ICIIS)

作者： Madhushani, T. W. U. Maithripala, D. H. S. Wijayakulasooriya, J. v. Postgrad & Res Unit Sri Lanka Technol Campus Peradeniya 10500 CO Sri Lanka Univ Peradeniya Dept Mech Engn Peradeniya 20400 KY Sri Lanka Univ Peradeniya Dept Elect & Elect Engn Peradeniya 20400 KY Sri Lanka

ISBN: (纸本)9781509038183

In this paper, we present a novel algorithm for feature point detecting and matching. Algorithm is robust to image noise and computationally simple, hence it is more suitable for on-board processing robotics applications. We introduce two repeatability measurements, that can be used in training phase to optimize parameters of the algorithm. Proposed detection algorithm is free from extracting multiple points around the same feature point. We suggest a technique to overcome the effect of scale variation in detection stage, for a compensation of computational simplicity. In matching stage, we directly utilize resulting data from detection, which makes the overall process much faster. We procure a technique for matching point error suppression, for a compensation of computational simplicity. Simulation results provided in the paper illustrate the accuracy and efficiency of the proposed algorithm.

关键词： Feature extraction Detectors Cameras Detection algorithms Robot sensing systems

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Multimodal 3D cancer-mimicking optical phantom

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BIOMEDICAL OPTICS EXPRESS 2016年第2期7卷 648-662页

作者： Smith, Gennifer T. Lurie, Kristen L. Zlatev, Dimitar v. Liao, Joseph C. Bowden, Audrey K. Ellerbee Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Sch Med Dept Urol Stanford CA 94305 USA Vet Affairs Palo Alto Hlth Care Syst Palo Alto CA 94304 USA

Three-dimensional (3D) organ-mimicking phantoms provide realistic imaging environments for testing various aspects of optical systems, including for evaluating new probe designs, characterizing the diagnostic potential of new technologies, and assessing novel image processing algorithms prior to validation in real tissue. We introduce and characterize the use of a new material, Dragon Skin (Smooth-On Inc.), and fabrication technique, air-brushing, for fabrication of a 3D phantom that mimics the appearance of a real organ under multiple imaging modalities. We demonstrate the utility of the material and technique by fabricating the first 3D, hollow bladder phantom with realistic normal and multi-stage pathology features suitable for endoscopic detection using the gold standard imaging technique, white light cystoscopy (WLC), as well as the complementary imaging modalities of optical coherence tomography and blue light cystoscopy, which are aimed at improving the sensitivity and specificity of WLC to bladder cancer detection. The flexibility of the material and technique used for phantom construction allowed for the representation of a wide range of diseased tissue states, ranging from inflammation (benign) to high-grade cancerous lesions. Such phantoms can serve as important tools for trainee education and evaluation of new endoscopic instrumentation. (C) 2016 Optical Society of America

关键词： (110.4500) Optical coherence tomography (160.4760) Optical properties (170.3880) Medical and biological imaging (170.7230) Urology

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JPEG compression with recursive group coding 14

JPEG compression with recursive group coding

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image processing: algorithms and systems XIv 2016

作者： Kozhemiakina, Nadezhda Lukin, vladimir v. Ponomarenko, Nikolay N. Astola, Jaakko Egiazarian, Karen O. National Aerospace University Kharkov61070 Ukraine Tampere University of Technology TampereFIN 33101 Finland

A task of alternative (faster and more efficient in compression ratio sense) coding of discrete cosine transform (DCT) coefficients within JPEG based image compression approach is considered. In the data processing chain, it is proposed to apply a recursive group coding (RGC) as an alternative to arithmetic or Huffmann coding. In contrast to the aforementioned data coding techniques, the RGC method is able to efficiently code symbols of very large alphabets (each block of 8x8 pixels of quantized DCT coefficients can be represented as such 64-byte or 128-byte symbol). Comparative analysis of efficiency for the standard JPEG and its proposed modification (for three images of three different digital cameras) is carried out using six different quantization tables. It is shown that RCG possesses low computational complexity and a high speed of compression simultaneously with higher compression ratio (CR) compared to the standard JPEG. The benefit in CR appears to be larger for smaller quantization steps (QSs) that mainly correspond to SHQ (super high quality) mode. This benefit can reach up to 10%. It is also demonstrated that the benefits exists for uniform quantization tables. The proposed coding method can be used for an additional compression of JPEG-images in coding traffic of communication lines. For this purpose, data of JPEG-images have to be partly decoded (till the level of the quantized DCT coefficients) and then recoded by RGC. © 2016 Society for Imaging Science and Technology.

关键词： image compression

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A Novel Enhancement Algorithm for Night image by Adjusting the Background

A Novel Enhancement Algorithm for Night Image by Adjusting t...

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International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC

作者： Hangzhou Zhang Yi Wan School of Information Science & Engineering Lanzhou University China

ISBN: (纸本)9781509007691

In this paper, a novel approach for night image enhancement is proposed. The algorithm improves the visuality of the night image by adjusting the background data of the value component (v) in HSv space. We firstly obtain background image from v, then increase the dynamic range of the background image by optimized transfer function. Finally, we can restore the enhancement v from enhanced background image. The experimental results demonstrate that the proposed approach can improve the perceptual quality, and have a good effect for night image by comparing with other algorithms.

关键词： Signal processing algorithms Lighting Distortion Transfer functions Brightness Histograms

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A GPU-based ultrasound Phased-Array research system for non-destructive testing

A GPU-based ultrasound Phased-Array research system for non-...

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IEEE International Ultrasonics Symposium

作者： Marcin Lewandowski Mateusz Walczak Beata Witek Tomasz Steifer Department of Strength of Materials Institute of Fundamental Technological Research PAS Warsaw Poland

ISBN: (纸本)9781467398985

ultrasound Phased-Array (PA) systems for non-destructive testing (NDT) use standard beamforming for line-by-line image creation. New methods utilizing full-matrix capture (FMC) enable the application of advance processing algorithms, such as the total focusing method and multi-pass adaptive techniques for enhanced flaw visualization. The effective FMC data acquisition and its real-time processing require a very high data throughput and powerful computational resources. Most commercial PA systems support some form of FMC acquisition, but the limited external data bandwidth prevents this mode of operation from being useful. We have developed a fully programmable ultrasound research system capable of performing FMC data acquisition and image reconstruction with a high framerate. The ultrasound platform is supporting up to 192 parallel TX/RX electronics channels integrated with an embedded control PC and a GPU cluster for parallel processing. The implemented software libraries give the end-user control over TX/RX schemes, the acquisition process and signal processing algorithms. This all-in-one system is a fully flexible tool for the research and evaluation of novel Phased-Array FMC imaging methods and complex signal processing algorithms.

关键词： Ultrasonic imaging Graphics processing units Imaging Probes Real-time systems Firing image reconstruction image reconstruction Ultrasonography real-time systems Nondestructive Testing FIRING Fixed Mobile Convergence Graphics processing Unit Probes PUBLIC ADDRESS SYSTEM Imaging Signal processing algorithms data throughput Ultrasonic Waves Software libraries processing algorithm

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Combined full-reference image visual quality metrics 14

Combined full-reference image visual quality metrics

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image processing: algorithms and systems XIv 2016

作者： Ieremeiev, Oleg I. Lukin, vladimir v. Ponomarenko, Nikolay N. Egiazarian, Karen O. Astola, Jaakko National Aerospace University Kharkov61070 Ukraine Tampere University of Technology TampereFIN 33101 Finland

This paper addresses the problem of assessing full-reference visual quality of images. A correlation between the obtained array of mean opinion scores (MOS) and the corresponding array of given metric values allows characterizing a correspondence of the considered metric to HvS. For the database TID2013 intended for a metric verification, a Spearman correlation is about 0.85 for the best existing HvS-metrics. A simple way to improve an efficiency of assessing visual quality of images is to combine several metrics: as a product of two existing metrics in certain powers that can be optimized or applying more complex structures to unify more than two visual quality metrics. We show that clustering methods can be efficiently used for this purpose. This method provides essentially larger improvement of a combined metric performance compared to the method based on their multiplication. Besides, our work specially addresses assessing images with multiple distortions. There are two such types in the modified LIvE database and two others in TID2013. Spearman rank order correlation coefficient (SROCC) between a combined metric and mean opinion score for a considered database serves as a criterion for the metric optimization. As the result of our design, the SROCC reaches 0.95 for the verification set of the database TID2013. This is considerably better than for any particular metric employed as an input where FSIMc is the best among them. © 2016 Society for Imaging Science and Technology.

关键词： Database systems

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