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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"

共 16349 条记录，以下是341-350 订阅

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GPU Accelerated 2D and 3D image processing

GPU Accelerated 2D and 3D Image Processing

引用

Federated conference on Computer Science and Information systems (FedCSIS)

作者： Morar, Anca Moldoveanu, Florica Moldoveanu, Alin Balan, Oana Asavei, Victor Univ Politehn Bucuresti Bucharest Romania

ISBN: (纸本)9788394625375

The current advances in hardware led to the development of the GPGPU (General-purpose computing on graphics processing units) paradigm. Thus, nowadays, the GPU (Graphics processing Unit) is used not only for graphics programming, but also for general purpose algorithms. This paper discusses several methods regarding the use of CUDA (Compute Unified Device Architecture) for 2D and 3D image processing techniques. Some general rules for writing parallel algorithms in computer vision are pointed out. A theoretic comparison between the complexity for CPU (Central processing Unit) and GPU implementations of image processing algorithms is given. Also, real computing times are provided for several algorithms in order to point out the actual performance gain of using the GPU over CPU. The factors that contribute to the difference between theoretic and real performance gain are also discussed.

关键词： GPGPU CUDA CPU central processing units Graphics processing Unit GRAPPER PICK UP Three-Dimensional images images computer vision image processing algorithm

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image enhancement with green function

Image enhancement with green function

引用

2013 IEEE International conference on Signal processing, Communications and Computing, ICSPCC 2013

作者： xi, Zhihong Zhao, Lanfei Fu, Cunli College of Information And Communication Engineering Harbin Engineering University Harbin China

ISBN: (纸本)9781479910274

Due to the uncomfortable visual effect which was caused by traditional image enhancement algorithms, this paper proposes an effective image enhancement algorithm. Firstly, the digital image was divided into circular regions and the Dirichlet boundary conditions were calculated by adaptive luminance mapping. Secondly, the Poisson equation in gradient domain was obtained according to the information for each region. At last, we employed the method of image to get the solution of Possion equation. By making comparison with other algorithms, the experimental result shows that our algorithm improves the visual effect effectively. © 2013 IEEE.

关键词： image enhancement

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A real-time ellipse detection method using GPU-based RANSAC

A real-time ellipse detection method using GPU-based RANSAC

引用

2013 5th International conference on Intelligent Human-Machine systems and Cybernetics, IHMSC 2013

作者： Liu, Liu Yang, Jianfeng University of Chinese Academy of Sciences Beijing China Key laboratory of spectrum imaging technology Xi'an Institute of Optics and Fine Mechanics CAS Xi'an China Xi'an Institute of Optics and Fine Mechanics Chinese Academy of Sciences Xi'an China

ISBN: (纸本)9780769550114

An approach to very rapid and real-time ellipse detection is described, Based on a modified RANSAC (RANdom Sample Consensus), and considering the parallel processing capabilities of a programmable graphics processing unit. The method is able to detect ellipses of images in real-time. First, it finished the computational part of image segmentation and contour detection on the CPU. Then it uses the fragment processing capability of the GPU to fit ellipse shape parameters. Experimental results show that the computational efficiency of the proposed method will be multiplied several times than other algorithms, and this method is more efficient for real-time ellipse detection. © 2013 IEEE.

关键词： Graphics processing unit

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Quality constraint and rate-distortion optimization for predictive image coders

Quality constraint and rate-distortion optimization for pred...

引用

conference on image processing - algorithms and systems xi

作者： Samrouth, Khouloud Pasteau, Francois Deforges, Olivier CNRS UMR 6164 IETR Lab Rennes France

ISBN: (纸本)9780819494283

Next generations of image and video coding methods should of course be efficient in terms of compression, but also propose advanced functionalities. Among these functionalities such as scalability, lossy and lossless coding, data protection, Rate Distortion Optimization (RDO) and Rate Control (RC) are key issues. RDO aims at optimizing compression performances, while RC mechanism enables to exactly compress at a given rate. A less common functionality than RC, but certainly more helpful, is Quality Control (QC): the constraint is here given by the quality. In this paper, we introduce a joint solution for RDO and QC applied to a still image codec called Locally Adaptive Resolution (LAR), providing scalability both in resolution and SNR and based on a multi-resolution structure. The technique does not require any additional encoding pass. It relies on a modeling and estimation of the prediction errors obtained in an early work. First, quality constraint is applied and propagated through the whole resolution levels called pyramid. Then, the quantization parameters are deduced considering inter and intra pyramid level relationships. Results show that performances of the proposed method are very close to an exhaustive search solution.

关键词： Predictive Coder quantization quality allocation rate-distortion optimization

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image recognition technology in motion trajectory planning based on intelligent robot

Image recognition technology in motion trajectory planning b...

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International conference on Applications and Techniques in Cyber Intelligence, ATCI 2018

作者： Yu, Zhang School of Mechano-Electronic Engineering Xidian University Xi’an China

ISBN: (纸本)9783319987750

To achieve higher requirements for industrial robots in practical applications, the image pre-processing algorithms, key feature extraction and recognition algorithms, and trajectory planning and generation algorithms for wheel hub images were studied to realize image feature of wheel hub and pre-processing before recognition. Then, the problem of misunderstanding in corner detection was solved. The identification of wheel hub images, the planning and generation of the processing trajectory of wheel hub were completed. Finally, this research was applied to the industrial robot image recognition automatic processing system. The experiment verified the practical feasibility of the industrial robot trapped image recognition automatic processing system. It is concluded that the future intelligent robot can better serve human beings. © Springer Nature Switzerland AG 2019.

关键词： Industrial robots

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Vasculature segmentation using parallel multi-hypothesis template tracking on heterogeneous platforms

Vasculature segmentation using parallel multi-hypothesis tem...

引用

conference on image processing - algorithms and systems xi

作者： Zhang, Dong Ping Howes, Lee Adv Micro Devices Inc Res Grp Sunnyvale CA 94088 USA

ISBN: (纸本)9780819494283

We present a parallel multi-hypothesis template tracking algorithm on heterogeneous platforms using a layered dispatch programming model. The contributions of this work are: an architecture-specific optimised solution for vasculature structure enhancement, an approach to segment the vascular lumen network from volumetric CTA images and a layered dispatch programming model to free the developers from hand-crafting mappings to particularly constrained execution domains on high throughput architecture. This abstraction is demonstrated through a vasculature segmentation application and can also be applied in other real-world applications. Current GPGPU programming models define a grouping concept which may lead to poorly scoped local/shared memory regions and an inconvenient approach to projecting complicated iterations spaces. To improve on this situation, we propose a simpler and more flexible programming model that leads to easier computation projections and hence a more convenient mapping of the same algorithm to a wide range of architectures. We first present an optimised image enhancement solution step-by-step, then solve a separable nonlinear least squares problem using a parallel Levenberg-Marquardt algorithm for template matching, and perform the energy efficiency analysis and performance comparison on a variety of platforms, including multi-core CPUs, discrete GPUs and APUs. We propose and discuss the efficiency of a layered-dispatch programming abstraction for mapping algorithms onto heterogeneous architectures.

关键词： image Enhancement Cardiac Imaging GPU computing Programming Model

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Effect of acquisition system features on algorithm performance

Effect of acquisition system features on algorithm performan...

引用

conference on Machine Vision Applications in Industrial Inspection xi

作者： Venkatachalam, V Wasserman, RM Yoshida, H Asano, H Takahama, Y Micro Encoder Inc Kirkland WA 98034 USA

ISBN: (纸本)0819448117

While evaluating the performance of image processing algorithms, the starting point is often the acquired image. However, in practice, several factors, extrinsic to the actual algorithm, affect its performance. These factors depend largely on the features of the acquisition system. This paper focuses on some of the key factors that affect algorithm performance, and attempts to provide some insight into defining "optimal" system features for best performance. The system features studied in depth in the paper are camera type, camera SNR, pixel size, bit-depth and system illumination. We were primarily interested in determining the effect of each of these factors on system performance. Towards this end, we designed an experiment to measure performance on a precision measurement system using several different cameras under varying illumination settings. From the results of the experiment, we observed that the variation in performance was greater for the same algorithm under different test system configurations, than for different algorithms under the same system configuration. Using these results as the basis, we discuss at length the combination of features that contributes to an optimal system configuration for a given purpose. We expect this work to have relevance to researchers in all areas of image processing who want to optimize the performance of their algorithms when ported to actual systems.

关键词： vision systems image acquisition performance SNR quantization bit-depth illumination

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Localization of Thyroid Nodules in Ultrasonic images 13th

Localization of Thyroid Nodules in Ultrasonic Images

引用

13th International conference on Wireless algorithms, systems, and Applications (WASA)

作者： Yu, Ruiguo Liu, Kai Wei, xi Zhu, Jialin Li, Xuewei Wang, Jianrong Ying, xiang Yu, Zhihui Tianjin Univ Sch Comp Sci & Technol Tianjin Peoples R China Tianjin Med Univ Canc Inst & Hosp Tianjin Peoples R China Tianjin Univ Sch Comp Software Tianjin Peoples R China

ISBN: (纸本)9783319942681;9783319942674

Thyroid nodule is a common clinical condition. Ultrasound is usually used to make a preliminary diagnosis, because it is convenient and cheap. Therefore, the study of thyroid ultrasound images of thyroid nodules has it's significance and value. This paper investigates the problem of locating thyroid nodules in ultrasound images by manual signs. The solution to this problem is divided into three parts: first, image processing processes the image preliminary and find the approximate location of the signs;then, sign recognition recognize the signs accurately using CNN models;finally, boundary adjustment is used for the final adjustment of the border. Experimental results show that the algorithm proposed in this paper can accurately locate the nodules in thyroid ultrasound images.

关键词： Thyroid nodule Ultrasonic image processing Convolutional neural network

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A Scheme for Accelerating image processing algorithms using SIMD for ARM Cortex A based systems

A Scheme for Accelerating Image Processing Algorithms using ...

引用

International conference on Innovations in Information, Embedded and Communication systems (ICIIECS)

作者： Prasannakumar, Nikhilesh Netaji Subhas Inst Technol Dept Instrumentat & Control Engn New Delhi India

ISBN: (纸本)9781509032945

Increasing computational requirements in embedded mobile devices, especially with regard to image processing, necessitates the use of hardware acceleration to handle higher throughputs. ARM Cortex A series of processors, which are present in a majority of mobile devices such as smartphones, feature a single instruction multiple data (SIMD) coprocessor called NEON. The wide SIMD architecture enables the parallelization of various image processing operations and algorithms, resulting in significant improvements in the system throughput. This paper discusses the use of NEON Intrinsics, a C language implementation of the NEON SIMD instruction set, which is an extension of the ARM instruction set, allowing the seamless integration of optimized image processing libraries with application code written in higher level languages, while maintaining performance comparable to hand optimized assembly language libraries. Several image processing operations and algorithms optimized using NEON Intrinsics are benchmarked on a test bench as well as real world hardware platforms to validate the acceleration achieved in image processing tasks.

关键词： embedded systems image processing hardware acceleration SIMD NEON intrinsics

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algorithms for Lossless Compression in image processing systems 16

Algorithms for Lossless Compression in Image Processing Syst...

引用

20th Pan-Hellenic conference on Informatics (PCI)

作者： Popa, Bogdan Univ Craiova Dept Automat & Appl Informat Craiova Dolj Romania

ISBN: (纸本)9781450347891

In this article, it is developed some area of issues related to data compression algorithms in the field of image processing. image processing area is very commonly used today with multiple applications in different fields, but also, the image compression methods or algorithms for imaging are used every day by the computer users. This paper will highlight the result of reports over the investigations or comparisons on image compression methods and will provide conclusions and ideas for further research in this area, with intense uses. Today there are a lot of different data compression methodologies, which are used to compress different data formats like, video, audio, image files. This article represents a comparison of several compression methods based on previous research and the analysis in the context of their current needs. In conclusion, this topic combines image processing systems, the advantage of using parallel programming, the benefits and results of the image compression and also the importance of some fundamental algorithms in this area.

关键词： Data compression image processing lossless compression wavelet transform

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