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Portable Digital In-line Holography Platform for Sperm Cell Visualization and Quantification 27

Portable Digital In-line Holography Platform for Sperm Cell ...

引用

27th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Sobieranski, Antonio Carlos Inci, Fatih Tekin, H. Cumhur Comunello, Eros von Wangenheim, Aldo Demirci, Utkan Univ Fed Parana Dept Informat BR-80060000 Curitiba Parana Brazil Harvard Univ Brigham & Womens Hosp Bioacoust MEMS Med BAMM Lab Ctr Biomed EngnDept MedMed Sch Boston MA 02115 USA Univ Fed Santa Catarina LAPIX Image Proc & Comp Graph Lab INCoD Natl Brazilian Inst Digital Convergence BR-88040900 Florianopolis SC Brazil MIT Harvard MIT Hlth Sci & Technol Div Cambridge MA 02139 USA

ISBN: (纸本)9781479942602

In this paper a new portable Digital In-line Holography Platform for biological micro-scale imaging of sperm samples is presented. This platform is based on the shadow imaging principle, where biological samples are illuminated by a nearly coherent light source, and shadows are recorded into a CMOS imaging sensor with no lens requirement. The projected shadows present holographic signatures, storing more than bi-dimensional information of the analyzed sample. To improve resolution and suppress noise of the acquired holograms, a multi-frame technique based on high-dynamic range imaging combined with summation of consecutive frames over time was used. Finally, decoding of holograms is performed by an efficient and fast phase-recovery method, where morphological details of the sample can be obtained similarly a conventional bright-field microscopy image. From an image formation point of view, the proposed portable approach is able to visualize biological samples in high synthetic numerical aperture values with a spatial resolution of 1-2 mu m on a field-of-view of approximate to 30 mm(2). This field-of-view is consistently bigger than a conventional microscope imaged area with no mosaic reconstruction, and the achieved resolution is obtained using a single illumination source with no moving parts, array of LEDs or sift of the light source. Validation of the proposed portable approach was performed using various human samples, where conventional microscopy was used for confirmation purposes.

关键词： Biological On-Chip Imaging Digital In-line Holography Platform Lens-less Shadow Imaging Sperm Morphology Visualization

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A GPU Implementation of the Inverse Fast Multipole Method for Multi-Bistatic Imaging Applications

A GPU Implementation of the Inverse Fast Multipole Method fo...

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IEEE Antennas-and-Propagation-Society International symposium (APSURSI)

作者： Tirado, Luis E. Ghazi, Galia Martinez-Lorenzo, Jose A. Rappaport, Carey M. Alvarez, Yuri Las-Heras, Fernando Northeastern Univ Dept Elect Engn Boston MA 02115 USA Univ Oviedo Area Teoria Senal & Comunicac Gijon Asturias Spain

ISBN: (纸本)9781479935406

This paper presents a parallel implementation of the Inverse Fast Multipole Method (IFMM) for multi-bistatic imaging configurations. NVIDIA's Compute Unified Device Architecture (CUDA) is used to parallelize and accelerate the imaging algorithm in a graphics processing Unit (GPU). The algorithm is validated with experimental data, collected by a Frequency-Modulated Continuous Wave (FMCW) radar system operating in the 70-77 GHz frequency band. The proposed GPU-based IFMM algorithm accelerated the single-core CPU version by a factor of 46.

关键词： Algorithm design and analysis computer architecture graphics processing units image reconstruction Imaging Radar imaging Receivers

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ImQET: Objective stereoscopic image quality evaluation tool 14

ImQET: Objective stereoscopic image quality evaluation tool

引用

20th brazilian symposium on Multimedia and the Web, WebMedia 2014

作者： De Miranda Cardoso, Jose Vinícius Regis, Carlos Danilo Miranda De Alencar, Marcelo Sampaio Federal University of Campina Grande Institute for Advanced Studies in Communications Campina Grande Brazil

ISBN: (纸本)9781450332309

This paper describes an application for full-reference stereoscopic image quality assessment called ImQET. The application was developed using Mono framework and C# programming language. ImQET is independent of platform and provides a friendly Graphical User Interface (GUI). The stereoscopic image signals used in the application are based in a two-view model. ImQET has objective image quality algorithms such as PSNR, SSIM, and PW-SSIM and also incorporates a recently published technique for stereoscopic image quality assessment called Disparity Weighting (DW). Numerical results corresponding to the performance of the objective measurements, which were obtained using the proposed application, are presented. ImQET can be used by academia and industry for standardization and development of objective algorithms and evaluation of impairments in stereoscopic image signals caused by processing techniques.

关键词： Graphical user interfaces

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Runtime support for adaptive spatial partitioning and inter-kernel communication on GPUs 26

Runtime support for adaptive spatial partitioning and inter-...

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26th International symposium on computer Architecture and High Performance Computing, SBAC-PAD 2014

作者： Ukidave, Yash Kalra, Charu Kaeli, David Mistry, Perhaad Schaa, Dana Department of Electrical and Computer Engineering Northeastern University BostonMA United States Advanced Micro Devices United States

ISBN: (纸本)9781479969043

GPUs have gained tremendous popularity in a broad range of application domains. These applications possess varying grains of parallelism and place high demands on compute resources - many times imposing real-time constraints, requiring flexible work schedules, and relying on concurrent execution of multiple kernels on the device. These requirements present a number of challenges when targeting current GPUs. To support this class of applications, and to take full advantage of the large number of compute cores present on the GPU, we need a new mechanism to support concurrent execution and provide flexible mapping of compute kernels to the GPU. In this paper, we describe a new scheduling mechanism for dynamic spatial partitioning of the GPU, which adapts to the current execution state of compute workloads on the device. To enable this functionality, we extend the OpenCL runtime environment to map multiple command queues to a single device, and effectively partitioning the device. The result is that kernels that can benefit from concurrent execution on a partitioned device can effectively utilize the full compute resources on the GPU. To accelerate next-generation workloads, we also support an inter-kernel communication mechanism that enables concurrent kernels to interact in a producer-consumer relationship. The proposed partitioning mechanism is evaluated using real world applications taken from signal and image processing, linear algebra, and data mining domains. For these performance-hungry applications we achieve a 3.1X performance speedup using a combination of the proposed scheduling scheme and inter-kernel communication, versus relying on the conventional GPU runtime. © 2014 IEEE.

关键词： graphics processing unit

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A fast gabor filter approach for multi-channel texture feature discrimination 19

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19th Iberoamerican Congress on Pattern Recognition, CIARP 2014

作者： Sobieranski, Antonio Carlos Linhares, Rodrigo T. F. Comunello, Eros von Wangenheim, Aldo Federal University of Santa Catarina Laboratory of Image Processing and Computer Graphics Brazil Federal University of Parana Department of Informatics Brazil

ISBN: (纸本)9783319125671

Texture is a very important concept for many image understanding and pattern classification applications. The analysis of texture can be performed by the multi-channel filtering theory, a classical theory for texture perception based on the early stages of human visual system. This approach decomposes an image into a set of responses given by a bank of Gabor filters, that nearly covers in an uniformly manner the spatial-frequency domain. This approach relies on the image dimensions, and the number of kernels in a bank of Gabor filters varies according to the number of combinations between frequencies and orientations. In many practical applications, this large number of combinations makes quickly unfeasible the computation of the whole bank of filters. To ease this problem, in this paper we propose a multi-channel filtering where the Gabor bank for texture discrimination is computed in parallel in a graphics processing unit (GPU). Experimental results show an improvement of 8.78 times for feature extraction when compared against the corresponding CPU-based approach. © Springer International Publishing Switzerland 2014.

关键词： Gabor filters

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Video processing on GPU: Analysis of data transfer overhead 26

Video processing on GPU: Analysis of data transfer overhead

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26th IEEE International symposium on computer Architecture and High Performance Computing Workshops, SBAC-PADW 2014

作者： Prata, Renan Bentes, Cristiana Farias, Ricardo Department of System Engineering State University of Rio de Janeiro Rio de Janeiro RJ20550-900 Brazil COPPE/Systems Engineering Federal University of Rio de Janeiro Rio de Janeiro RJ21945-970 Brazil

ISBN: (纸本)9781479970148

In this work, we study one of the major problems in exploring the power of GPUs to accelerate video processing applications: countless frames have to be transferred back and forth between the CPU and GPU. We evaluate four different data transfer approaches currently available on modern GPUs: Standard Allocation, Pinned Memory, Data Stream, and Zero-Copy. Our results show that Data Stream is the most efficient strategy, but requires more programming effort. Zero-Copy, on the other hand, demonstrates inferior performance due to the significant latency incurred by the PCIe bus transfers for every memory access. © 2014 IEEE.

关键词： graphics processing unit

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Automatic generation of custom parallel processors for morphological image processing 26

Automatic generation of custom parallel processors for morph...

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26th International symposium on computer Architecture and High Performance Computing, SBAC-PAD 2014

作者： Pedrino, Emerson Carlos Fernandes, Marcio Merino Departamento de Computaçã Universidade Federal de São Carlos São Carlos SP Brazil

ISBN: (纸本)9781479969043

image processing applications are well established in modern society, presenting continuous advances and challenges. One of its fundamental techniques is morphological image processing, a nonlinear branch in image processing, which have high performance requirements. Although usually demanding for general purpose processors, it presents a high degree of achievable parallelism, making FPGA based platforms suitable candidates for this task. However, ad-hoc FPGA implementations of specialized functions to be applied to images of varying dimensions suffers from long development times and lack of flexibility. In the literature, several intelligent systems using mathematical morphology were proposed for image processing tasks, where their main bottleneck is to evaluate the fitness function for image training pairs. In this context usually sets of low spatial resolution image pairs for the training process are used. However, the fitness evaluation timing for those problems is very demanding in practice. The scheme presented in this paper aims to tackle these limitations, proposing a strategy to automatically generate custom parallel processors for morphological image processing. The proposed scheme consists of a general architecture, and a software tool used to generate custom processors. The scheme is implemented using Matlab, which generates synthesizable Verilog structures based on a few textual parameters of morphological operations and image dimensions. Experimental results have shown the method effectiveness, generating custom processors capable to perform morphological transformations on images. © 2014 IEEE.

关键词： Intelligent systems

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An efficient GPU-based implementation of the R-MSF-algorithm for remote sensing imagery 19

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19th Iberoamerican Congress on Pattern Recognition, CIARP 2014

作者： Castro-Palazuelos, David Robles-Valdez, Daniel Torres-Roman, Deni Center for Advanced Research and Education of the National Polytechnic Institute of Mexico CINVESTAV Unidad Guadalajara Mexico Avenida del Bosque #1145 Colonia el Bajío ZapopanJalisco45019 Mexico Culiacan Technological Institute Department of Electrical-Electronic Engineering Sinaloa Mexico

ISBN: (纸本)9783319125671

This paper presents an efficient real time implementation of the regularized matched spatial filter algorithm (R-MSF-Algorithm) for remote sensing (RS) imagery that employs the robust descriptive experiment design (DED) approach, using a graphics processing unit (GPU) as parallel architecture. The achieved performance is significantly greater than initial requirement of two image per second. The performance results are reported in terms of metrics as: number of operations, memory requirements, execution time, and speedup, which show the achieved improvements by the parallel version in comparison with the sequential version of the algorithm. © Springer International Publishing Switzerland 2014.

关键词： graphics processing unit

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High-performance traffic classification on GPU 26

High-performance traffic classification on GPU

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26th International symposium on computer Architecture and High Performance Computing, SBAC-PAD 2014

作者： Zhou, Shijie Nittoor, Prashant Rao Prasanna, Viktor K. Ming Hsieh Department of Electrical Engineering University of Southern California Los AngelesCA90089 United States

ISBN: (纸本)9781479969043

Traffic classification is an essential task in network management. Recently, there has been a new trend in exploring graphics processing Unit (GPU) for network applications. These applications typically do not perform floating point operations and obtaining speedup can be challenging. In this paper, we design a high-performance traffic classifier based on an alternate representation of the C4.5 decision-tree algorithm and implement it using Compute Unified Device Architecture (CUDA). To remedy the unbalanced nature of the decision-trees arising in traffic classification, we convert the C4.5 decision-tree into a set of completely balanced range-trees. Classification is performed by searching the range-trees and merging the search results. We optimize our design by storing the range-trees using compact arrays without explicit pointers in shared memory. By exploiting thread level parallelism, we develop throughput-optimized as well as latency-optimized designs. Experimental results show that for a typical decision-tree containing 128 leaf nodes and 6 features, our design achieves a throughput of over 1600 million classifications per second (MCPS). Compared with the state-of the-art multi-core implementation, our design demonstrates 16x improvement with respect to throughput. We also demonstrate similar performance improvements on a variety of decision-trees with respect to number of leaf nodes, structure of the tree and number of features. © 2014 IEEE.

关键词： graphics processing unit

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Fast heuristics for eliminating switching components in binary matrices by 0-1 flips 19

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19th Iberoamerican Congress on Pattern Recognition, CIARP 2014

作者： Hantos, Norbert Balázs, Péter Department of Image Processing and Computer Graphics University of Szeged Árpád tér 2 SzegedH-6720 Hungary

ISBN: (纸本)9783319125671

Switching components are special patterns in binary matrices that play an essential role in many image processing and pattern analysis tasks. Finding the minimal number of 0s that must be switched to 1s in order to eliminate all switching components is an NP-complete problem. We present two novel-type heuristics for the above problems and show via experiments that they outperform the formerly proposed ones, both in optimality and in running time. © Springer International Publishing Switzerland 2014.

关键词： image reconstruction

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