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A Line-Based Connected Component Labeling Algorithm Using GPUs

A Line-Based Connected Component Labeling Algorithm Using GP...

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International symposium on Computing and Networking (CANDAR)

作者： Kensaku Yonehara Kunio Aizawa Shimane Daigaku Matsue Shimane JP Department of Mathematics and Computer Science Shimane University Matsue Japan

Connected Component Labeling (CCL) is a type of basic images analysis, and it is used by many applications. This paper proposes a new parallel algorithm of CCL with GPU architecture for the binary image. We improved the Union-Find technique of CCL using GPGPU and developed the parallel algorithm to run fast in divided areas of each one line. We compared proposed algorithm with Union-Find technique and the Label Equivalence technique by an experiment using the CUDA. Our approach was a 1.61x speedup compared with Union-find when runs on the large image.

关键词： graphics processing units Kernel Instruction sets Labeling Algorithm design and analysis Sections Parallel algorithms

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Towards a Wearable Device for Monitoring Ecological Environments

Towards a Wearable Device for Monitoring Ecological Environm...

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brazilian symposium on Computing System Engineering (SBESC)

作者： Saul Emanuel Delabrida Thiago D'Angelo Ricardo A. Rabelo Oliveira Antonio Alfredo Ferreira Loureiro Federal University of Ouro Pre to (UFOP) Ouro Preto MG BR Federal University of Ouro Pre to (UFOP) Ouro Preto Brazil Federal University of Ouro Pre to (UFOP) Belo Horizonte MG BR

Wearable devices have emerging in last years with diverse applications for provide user convenience. Health care, sports, safety are some examples of areas in which wearable devices have been applied. This paper describes an overview about wearable architectures found in the literature and presents a novel wearable for monitoring ecological environments. The wearable is composed of a Head-UP Display (HUD) assembled with Google Cardboard API and sensors connected to a development board. Our wearable device provides several functionalities such as distance measurement to objects and weather conditions monitoring. Camera and green lasers combined with a digital image processing algorithm are used to measure the distance to objects. Our system is evaluated in different development boards.

关键词： Biomedical monitoring Sensors Cameras computer architecture Hardware Prototypes Monitoring

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Implementation of real-time duplex synthetic aperture ultrasonography

Implementation of real-time duplex synthetic aperture ultras...

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IEEE symposium (IUS) Ultrasonics

作者： Martin Christian Hemmsen Lee Lassen Thomas Kjeldsen Jesper Mosegaard Jørgen Arendt Jensen Department of Electrical Engineering Technical University of Denmark Lyngby Denmark Computer Graphics Lab Alexandra Institute Denmark

ISBN: (纸本)9781479981830

This paper presents a real-time duplex synthetic aperture imaging system, implemented on a commercially available tablet. This includes real-time wireless reception of ultrasound signals and GPU processing for B-mode and Color Flow Imaging (CFM). The objective of the work is to investigate the implementation complexity and processing demands. The image processing is performed using the principle of Synthetic Aperture Sequential Beamforming (SASB) and the flow estimator is implemented using the cross-correlation estimator. Results are evaluated using a HTC Nexus 9 tablet and a BK Medical BK3000 ultrasound scanner emulating a wireless probe. The duplex imaging setup consists of interleaved B-mode and CFM frames. The required data throughput for real-time imaging is 36.1 MB/s. The measured data throughput peaked at 39.562 MB/s, covering the requirement for real-time data transfer and overhead in the TCP/IP protocol. Benchmarking of real-time imaging showed a total processing time of 25.7 ms (39 frames/s) which is less than the acquisition time (29.4 ms). In conclusion, the proposed implementation demonstrates that both B-mode and CFM can be executed in-time for real-time ultrasound imaging and that the required bandwidth between the probe and processing unit is within the current Wi-Fi standards.

关键词： Imaging graphics processing units Real-time systems Apertures Wireless communication Ultrasonic imaging Throughput

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Fast accurate contours for 3D shape recognition

Fast accurate contours for 3D shape recognition

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IEEE symposium on Intelligent Vehicle

作者： M. Usman Butt John Morris Nitish Patel Morteza Biglari-Abhari Department of Electrical and Computer Engineering The University of Auckland New Zealand Faculty of Engineering Mahasarakham University Thailand

We describe an efficient GPU algorithm which extracts multiple contours from an image. The algorithm uses crack codes to generate contours which sit logically between adjacent image values; it works scan line by scan line and it can generate multiple contours in parallel with an image streamed directly from a camera. Whilst specifically targeted at detecting object contours in stereo disparity maps, it can also be used for general segmentation with a trivial change to the code generating the crack code masks. Using a480 ALU 1.4 GHz nVidia GPU, it can generate ~ 25000 contours from a real 2048 × 768 resolution 128 level disparity map image in ~ 29 ms if the contours are further processed in the GPU (additional ~5 ms to calculate shape moments) or ~ 39 ms if contours are transferred to the host. This is ~ 40 times faster than an OpenCV CPU implementation.

关键词： image segmentation graphics processing units Indexes Instruction sets image resolution image coding Complexity theory

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Procedural generation of 3D canyons 27

Procedural generation of 3D canyons

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

作者： De Carli, Daniel Michelon Pozzer, Cesar Tadeu Schetinger, Victor Bevilacqua, Fernando Univ Fed Santa Maria BR-97119900 Santa Maria RS Brazil Univ Fed Fronteira Sul Chapeco Brazil

ISBN: (纸本)9781479942602

This paper presents a non-assisted method for procedural generation of 3D canyon scenes. Our approach combines techniques of computer graphics, computer vision, image processing and graph search algorithms. Our main contribution is a generation approach that uses noise-generated heightmaps that are carefully transformed and manipulated by data clustering (through the Mean Shift algorithm) and image operations in order to mimic the observed geological features of real canyons. Several parameters are used to guide and constrain the generation of terrains, canyon features, course and shape of rivers, plain areas, soft slope regions, cliffs and plateaus.

关键词： Procedural terrain modeling procedural content clustering mean shift path-finding Perlin noise image synthesis games

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Efficient terrain data coding for rendering on mobile devices

Efficient terrain data coding for rendering on mobile device...

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IEEE International symposium on Signal processing and Information Technology (ISSPIT)

作者： Yankui Sun Xiaoxin An Zi Ye Zhongyang Sun Department of Computer Science and Technolozy Tsinzhua University Beijinz China School of Software Sun Yat-sen University Guangzhou China

Efficient terrain coding is necessary for large terrain real-time rendering on mobile devices. This paper is devoted to developing terrain compression algorithms so that large terrain can be rendered in real-time on mobile devices based on in-core memory. It presents lightweight compression techniques, namely binLBT+SPIHT and SPITH for efficient terrain digital elevation model (DEM) coding and shows the applications of ETC2 method for terrain texture coding for rendering on mobile devices. For DEM, terrain residual data is obtained and compressed in an integer lapped biorthogonal transform (binLBT) with lifting scheme followed by SPIHT (set partitioning in hierarchical trees) coder, or the terrain residual data is coded by SPIHT directly. For terrain texture, texture blocks are obtained by dividing the original large texture image, and each texture block is compressed by ETC2. Compression performances and reconstruction errors are compared in different parameters for binLBT+SPIHT, SPIHT and more wavelet coders. Based on these algorithms, we developed an interactive browse system of terrain data on mobile devices, using OpenGL ES 3.0, C++, NDK and so on. The tests on Puget Sound Terrain data with size 16384×16384 show that rendering achieves about 50 frames/sec.

关键词： Rendering (computer graphics) Encoding Mobile handsets Transforms image coding Performance evaluation Flowcharts

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An effective inpainting technique for hole filling in DIBR synthesized images

An effective inpainting technique for hole filling in DIBR s...

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IEEE International symposium on Consumer Electronics (ISCE)

作者： Richard Ramírez Fernando Jaureguizar Narciso García Julián Cabrera Grupo de Tratamiento de Imagenes ETSI Telecomunicacion Universidad Politecnica de Madrid Madrid Spain

This paper proposes an effective image inpainting method for Depth-image-Based Rendering (DIBR) synthesized images technique to solve disocclusion holes problems in texture images and their respective depth maps. Disoccluded areas, or holes, are classified depending on the size of the hole, being more critical those that appear in the border of the objects, normally between two great depth value differences. Exemplar-based inpainting contains the essential process required to replicate texture and structure for large dissocluded area. The proposed technique focus on preprocessing to improve gradient detection using sobel algorithm followed by a depth-aided exemplar-based technique gives encouraging results.

关键词： Three-dimensional displays Filling Signal processing algorithms Consumer electronics Computational efficiency Software algorithms Rendering (computer graphics)

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Accelerating huffman decoding of seismic data on GPUs

Accelerating huffman decoding of seismic data on GPUs

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symposium of image, Signal processing, and Artificial Vision (STSIVA)

作者： Carlos A. Angulo Christian D. Hernández Gabriel Rincón Carlos A. Boada Javier Castillo Carlos A. Fajardo Universidad Industrial de Santander Universidad Rey Juan Carlos

Huffman coding algorithm is widely used for seismic data compression because it offers good performance in terms of compression ratio. The algorithm compresses the data by assigning shorter code-words to the most frequent symbols, while the other symbols have longer code-words. It is difficult to accelerate the decoding process by exploiting the parallel architectures because the variable length of the code-words makes this process highly sequential. We propose a strategy that uses packets with headers to save the encoded data. This strategy forces the alignment of code-words at packet boundaries, allowing us to parallelize the decoding process. The parallel Huffman decoder was implemented on a GeForce GTX660 GPU and tested using different seismic datasets supplied by an oil company. Comparisons in terms of throughput (i.e. decoded data per second) suggest that our work is superior to other implementations. Experimental results allowed us to establish how the proposed strategy affects the compression ratio and how the number of threads per block affects the performance of the algorithm. Additionally, we show how the throughput is related with the compression ratio.

关键词： Decoding Dictionaries graphics processing units Indexes Huffman coding Binary trees

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GPU implementation of a hyperspectral coded aperture algorithm for compressive sensing

GPU implementation of a hyperspectral coded aperture algorit...

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IEEE International symposium on Geoscience and Remote Sensing (IGARSS)

作者： Sergio Bernabé Gabriel Martín José M. P. Nascimento José M. Bioucas-Dias Antonio Plaza Vítor Silva Instituto de Telecomunicações Lisbon Portugal Tnstituto Superior de Engenharia de Lisboa Lisbon Portugal Instituto Superior Técnico Technical University of Lisbon Lisbon Portugal Hyperspectral Computing Laboratory University of Extremadura Cáceres Spain Instituto de Telecomunicações DEEC University of Coimbra Coimbra Portugal

This paper presents a new parallel implementation of a previously hyperspectral coded aperture (HYCA) algorithm for compressive sensing on graphics processing units (GPUs). HYCA method combines the ideas of spectral unmixing and compressive sensing exploiting the high spatial correlation that can be observed in the data and the generally low number of endmembers needed in order to explain the data. The proposed implementation exploits the GPU architecture at low level, thus taking full advantage of the computational power of GPUs using shared memory and coalesced accesses to memory. The proposed algorithm is evaluated not only in terms of reconstruction error but also in terms of computational performance using two different GPU architectures by NVIDIA: GeForce GTX 590 and GeForce GTX TITAN. Experimental results using real data reveals signficant speedups up with regards to serial implementation.

关键词： Hyperspectral imaging graphics processing units Apertures Compressed sensing computer architecture image reconstruction

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Streaming ultra high resolution images to large tiled display at nearly interactive frame rate with vl3

Streaming ultra high resolution images to large tiled displa...

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IEEE symposium on Large Data Analysis and Visualization (LDAV)

作者： Jie Jiang Mark Hereld Joseph Insley Michael E. Papka Silvio Rizzi Thomas Uram Venkatram Vishwanath University of Illinois at Chicago Argonne National Laboratory Argonne National Laboratory Northern Illinois University Argonne National Laboratory Argonne IL US

Visualization of large-scale simulations running on supercomputers requires ultra-high resolution images to capture important features in the data. In this work, we present a system for streaming ultra-high resolution images from a visualization cluster to a remote tiled display at nearly interactive frame rates. vl3, a modular framework for large scale data visualization and analysis, provides the backbone of our implementation. With this system we are able to stream over the network volume renderings of a 20483 voxel dataset at a resolution of 6144×3072 pixels with a frame rate of approximately 3.3 frames per second.

关键词： Streaming media Data visualization Synchronization Rendering (computer graphics) image resolution graphics processing units

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