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IEEE International conference on Acoustics, Speech and Signal processing

作者： Jonathan Mamou Daniel Rohrbach F. L. Lizzi Center for Biomedical Engineering Riverside Research New York USA

ISBN: (纸本)9781509041183

Quantitative acoustic microscopy (QAM) is an imaging modality which uses very-high-frequency ultrasound (i.e., >200 MHz) to form two-dimensional (2D) quantitative images of acoustical and mechanical properties of soft tissues with microscopic resolution (i.e., better than 8 μm). The key component of a QAM system is the ultrasound transducer which must be broadband, have a very small F-number (i.e., <;1.2), and good sensitivity. In this study, two QAM systems based on a 250-MHz and a 500-MHz transducer are presented, yielding 2D quantitative images at spatial resolution of 7 μm and 4 μm respectively. Thin tissue sections obtained using a microtome or cryotome are raster scanned with precise motors and pulse-echo RF signals are digitized. Inverse models are then used to process each RF signal individually to estimate acoustic impedance, speed of sound, and acoustic attenuation as well as derived parameters such as bulk modulus, mass density, and compressibility. To illustrate the QAM technology and signal processing algorithms, images from cancerous human lymph nodes and ophthalmologic samples are presented and coregistered with histology photomicrographs.

关键词： Ultrasound acoustic microscopy very-high frequency acoustic microscopy Very High Frequency Ultrasonic Waves ultrasonic transducers Quadrature amplitude modulation radio frequency signal Sound attenuation MICROTOME Raster processing Acoustics

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High-Level Synthesis for Medical image processing on systems on Chip: A Case Study 26

High-Level Synthesis for Medical Image Processing on Systems...

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26th International conference on Field-Programmable Logic and Applications (FPL)

作者： Robinson, Fraser D. Crockett, Louise H. Nailon, William H. Stewart, Robert W. Univ Strathclyde Dept Biomed Engn Glasgow Lanark Scotland Univ Strathclyde Dept Elect & Elect Engn Glasgow Lanark Scotland Edinburgh Canc Ctr Dept Oncol Phys Edinburgh Midlothian Scotland

ISBN: (纸本)9782839918442

Adaptive radiotherapy is a technique intended to increase the accuracy of radiotherapy. Currently, it is not clinically feasible due to the time required to process the images of patient anatomy. Hardware acceleration of image processing algorithms may allow them to be carried out in a clinically acceptable timeframe. This paper presents the experiences encountered using high-level synthesis tools to design an accelerated segmentation algorithm for computed tomography images targeted for implementation on a System on Chip. Hardware coprocessors and their interfaces for optimal threshold generation and 3D mean filter algorithms were synthesised from C++ functions. Hardware acceleration significantly outperformed the software only implementation. The high-level synthesis tools allowed the rapid exploration of different design options. However, hardware design knowledge was still necessary in order to interpret the results effectively.

关键词： System-on-chip

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Coded Access Optical Sensor (CAOS) imager and Applications 4

Coded Access Optical Sensor (CAOS) Imager and Applications

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conference on Optics, Photonics and Digital Technologies for Imaging Applications iv

作者： Riza, Nabeel A. Univ Coll Cork Sch Engn Coll Rd Cork Ireland

ISBN: (纸本)9781510601413

Starting in 2001, we proposed and extensively demonstrated (using a DMD: Digital Micromirror Device) an agile pixel Spatial Light Modulator (SLM)-based optical imager based on single pixel photo-detection (also called a single pixel camera) that is suited for operations with both coherent and incoherent light across broad spectral bands. This imager design operates with the agile pixels programmed in a limited SNR operations starring time-multiplexed mode where acquisition of image irradiance (i.e., intensity) data is done one agile pixel at a time across the SLM plane where the incident image radiation is present. Motivated by modern day advances in RF wireless, optical wired communications and electronic signal processing technologies and using our prior-art SLM-based optical imager design, described using a surprisingly simple approach is a new imager design called Coded Access Optical Sensor (CAOS) that has the ability to alleviate some of the key prior imager fundamental limitations. The agile pixel in the CAOS imager can operate in different time-frequency coding modes like Frequency Division Multiple Access (FDMA), Code-Division Multiple Access (CDMA), and Time Division Multiple Access (TDMA). Data from a first CAOS camera demonstration is described along with novel designs of CAOS-based optical instruments for various applications.

关键词： Imaging systems Signal processing Ocean optics 3D image processing Digital micromirror devices image processing Time-frequency analysis Modulation Near field optics Signal to noise ratio Cameras image acquisition image restoration Optical sensors Spatial light modulators

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Research and implementation of image haze removal algorithm 2016

Research and implementation of image haze removal algorithm

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8th International conference on Signal processing systems, ICSPS 2016

作者： Dong, Feng Pan, Ye School of Communication and Information Engineering University of Electronic and Science Technology of China Chengdu China

ISBN: (纸本)9781450347907

Haze has a great impact on the picture clarity, which cannot meetthe needs of high definition image areas. In this paper, image haze removal algorithms are studied, where the haze image are treated and restored using dark channel prior theory. Dark channel prior is an image Statistics Law - within the vast majority of outdoor haze free image, there are always some points of a color channel whose value is close to zero;Using the law to establish a model, you can well recover haze free image. © 2016 ACM.

关键词： Bandpass filters

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A Methodology for Hierarchical image Segmentation Evaluation 16th

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16th International conference on Information processing and Management of Uncertainty in Knowledge-based systems (IPMU)

作者： Tinguaro Rodriguez, J. Guada, Carely Gomez, Daniel Yanez, Javier Montero, Javier Univ Complutense Madrid Fac Math E-28040 Madrid Spain Univ Complutense Madrid Fac Stat E-28040 Madrid Spain

ISBN: (纸本)9783319405964;9783319405957

This paper proposes a method to evaluate hierarchical image segmentation procedures, in order to enable comparisons between different hierarchical algorithms and of these with other (non-hierarchical) segmentation techniques (as well as with edge detectors) to be made. The proposed method builds up on the edge-based segmentation evaluation approach by considering a set of reference human segmentations as a sample drawn from the population of different levels of detail that may be used in segmenting an image. Our main point is that, since a hierarchical sequence of segmentations approximates such population, those segmentations in the sequence that best capture each human segmentation level of detail should provide the basis for the evaluation of the hierarchical sequence as a whole. A small computational experiment is carried out to show the feasibility of our approach.

关键词： image segmentation Hierarchical network clustering Edge-based image segmentation evaluation

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FPGA based Hardware Implementation of Automatic Vehicle License Plate Detection System 5

FPGA based Hardware Implementation of Automatic Vehicle Lice...

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International conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： Chhabra, Surbhi Jain, Himanshu Saini, Sandeep LNM Inst Informat Technol Dept Elect & Commun Engn Jaipur Rajasthan India

ISBN: (纸本)9781509020287

Automatic Vehicle License Plate Detection System (AVLPDS) is the extraction of vehicle license plate information from an image. Besides the safety aspects this system is used in many applications, viz. electronic payment systems, freeway, arterial monitoring systems for traffic surveillance etc. The purpose of this paper is to present the FPGA algorithmic model of most efficient algorithm among three algorithms: Edge-based, Connected-Component based and Histogram based. Each approach is analyzed on the basis of precision and recall rates to determine the success of each approach. After comparison, we can say Histogram based approach has an advantage of being simple and thus faster. Therefore, in this paper, we have used Histogram based Edge processing approach to detect the license plate and presented the FPGA implementation of AVLPDS for the same. The whole system is implemented using MATLAB Simulink and Xilinx System Generator(XSG). Use of XSG for image processing effectively reduces the complexity in structural design and contributes for hardware co-simulation. The accuracy of the algorithm is checked for different sets of input images and significant performance improvement has been found, thereby performing an optimal FPGA-based hardware implementation of AVLPDS.

关键词： Automatic Vehicle License Plate Detection System MATLAB Simulink Xilinx System generator VivADO HLS FPGA ZedBoard image processing

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Experimental Analysis of Visual Inverted Pendulum Servoing System 16th

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Joint conference of the 16th Asia Simulation conference / SCS International Autumn Simulation Multi-conference (AsiaSim/SCS AutumnSim)

作者： Du, Dajun Zhan, Bin Li, Wangpei Fei, Minrui Yang, TaiCheng Shanghai Univ Sch Mechatron Engn & Automat Shanghai Key Lab Power Stn Automat Technol Shanghai 200072 Peoples R China Univ Sussex Dept Engn & Design Brighton BN1 9QT E Sussex England

ISBN: (纸本)9789811026690;9789811026683

This paper is concerned with experimental analysis of visual inverted pendulum servoing system. Firstly, visual inverted pendulum servoing system is introduced, and three typical image processing algorithms are described. These three algorithms are then employed to process the image of inverted pendulum captured by camera. Comparative experiments are operated, and the detection precision and real time performance are analyzed. This lays a solid foundation for future control research of visual inverted pendulum servoing system.

关键词： Machine vision image processing Inverted pendulum Computational time Computational error

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High-Performance image Deinterlacing Using Optical Flow and Artifact Post-processing on GPU/CPU for Surveillance and Reconnaissance Tasks 13

High-Performance Image Deinterlacing Using Optical Flow and ...

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conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) systems and Applications XIII

作者： Mueller, Thomas Fraunhofer IOSB Inst Optron Syst Technol & Image Exploitat Fraunhoferstr 1 D-76131 Karlsruhe Germany

ISBN: (纸本)9781510600690

The necessity to process interlaced images in surveillance, reconnaissance, or further computer vision areas should be a topic of the past. But, for different reasons, it is not. So, there are situations in practice, in which interlaced images have to be processed. Since a lot of algorithms strongly degrade when working with such images directly, a usual method is to double or interpolate image lines in order to discard one of the two enclosed image frames. This is efficient but leads to weak results, in which half of the original information is lost. Alternatively, a lot of valuable computation time has to be spent to solve the highly complex motion compensation task in order to improve the results significantly. In this paper, an efficient algorithm is presented to solve this dilemma. First, the algorithm solves the complex 2-D mapping problem using the best state-of-the-art optical flow method that could be found for this purpose. But, of course, for different physical reasons there are regions which cannot properly be handled by optical flow by itself. Therefore, an efficient post-processing method detects and removes remaining artifacts afterwards, which is the main contribution of this paper. This method is based on color interpolation incorporating local image structure. The presented results document the overall performance of the approach with respect to obtained image quality and calculation time. The method is easy to implement and offers a valuable pre-processing for a lot of computer vision tasks.

关键词： Deinterlacing computer vision pre-processing optical flow artifact correction surveillance reconnaissance

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iGRaND: An Invariant frame for RGBD Sensor Feature Detection and Descriptor Extraction with Applications

iGRaND: An Invariant frame for RGBD Sensor Feature Detection...

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conference on Three-Dimensional Imaging, Visualization, and Display

作者： Willis, Andrew R. Brink, Kevin M. Univ North Carolina Charlotte 9201 Univ City Blvd Charlotte NC 28223 USA Air Force Res Lab Munit Directorate Eglin AFB FL 32542 USA

ISBN: (纸本)9781510601086

This article describes a new 3D RGBD image feature, referred to as iGRaND, for use in real-time systems that use these sensors for tracking, motion capture, or robotic vision applications. iGRaND features use a novel local reference frame derived from the image gradient and depth normal (hence iGRaND) that is invariant to scale and viewpoint for Lambertian surfaces. Using this reference frame, Euclidean invariant feature components are computed at keypoints which fuse local geometric shape information with surface appearance information. The performance of the feature for real-time odometry is analyzed and its computational complexity and accuracy is compared with leading alternative 3D features.

关键词： Sensors Sensors Detection and tracking algorithms 3D image processing Cameras image processing Binary data Visualization Feature extraction 3D image reconstruction image sensors image sensors

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Vehicle routing algorithms based on a route reservation approach

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Journal of Physics: conference Series 2018年第1期1096卷

作者： A A Agafonov V V Myasnikov Samara National Research University Moskovskoye shosse 34 Samara Russia 443086 Image Processing Systems Institute – Branch of the Federal Scientific Research Centre 'Crystallography and Photonics' of RAS Molodogvardeyskaya st. 151 Samara Russia 443001

Traffic congestion remains a serious problem in transportation networks. Widely used navigation systems can only react to the presence of traffic jams but not to prevent their creation. One of the possibilities to prevent congestion is to manage road traffic within the urban area. This work considers a route reservation approach with possibility to reroute a vehicle during a journey. This approach decomposes road segments into time-spatial slots and for every vehicle it makes the slots reservation for the corresponding route. Since the travel time in real networks cannot be determined precisely and can be considered as stochastic, we propose to use a rerouting procedure to minimize the traveling time. The experiments are carried out in microscopic simulation of a real-world traffic environment in the transportation network of Samara, Russia, using multi-agent transport simulation MATSim.

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