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23rd International Conference on systems, Signals and image processing, IWSSIP 2016

作者： Taştimur, Canan Karaköse, Mehmet Çelik, Yavuz Akin, Erhan Departure of Computer Engineering Firat University Elazig Turkey

ISBN: (纸本)9781467395557

Todays, the number of vehicles is rapidly increasing. In parallel, the number of ways and traffic signs have increased. As a result of increased traffic signs, the drivers are expected to learn all the traffic signs and to pay attention to them while driving. A system that can automatically recognize the traffic signs has been need to reduce traffic accidents and to drive more freely. Traffic sign recognition system meet this need. This study includes traffic sign detection and recognition application. In this study, some image processing techniques are used to detect traffic signs and Fuzzy Integral is used to recognize traffic signs. Both more accuracy rate results and low computational cost are obtained in terms of recognition stage by using positive aspects of algorithms taken as input parameters with Fuzzy Integral in the traffic sign recognition system. Experimental results show that proposed method gives high accurate results in a reasonable time. © 2016 IEEE.

关键词： Traffic signs

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An Efficient SVD-Based Method for image Denoising

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IEEE TRANSACTIONS ON CIRCUITS AND systems FOR VIDEO TECHNOLOGY 2016年第5期26卷 868-880页

作者： Guo, Qiang Zhang, Caiming Zhang, Yunfeng Liu, Hui Shandong Univ Finance & Econ Sch Comp Sci & Technol Jinan 250014 Peoples R China Shandong Prov Key Lab Digital Media Technol Jinan 250014 Peoples R China Shandong Univ Sch Comp Sci & Technol Jinan 250100 Peoples R China

Nonlocal self-similarity of images has attracted considerable interest in the field of image processing and has led to several state-of-the-art image denoising algorithms, such as block matching and 3-D, principal component analysis with local pixel grouping, patch-based locally optimal wiener, and spatially adaptive iterative singular-value thresholding. In this paper, we propose a computationally simple denoising algorithm using the nonlocal self-similarity and the low-rank approximation (LRA). The proposed method consists of three basic steps. First, our method classifies similar image patches by the block-matching technique to form the similar patch groups, which results in the similar patch groups to be low rank. Next, each group of similar patches is factorized by singular value decomposition (SVD) and estimated by taking only a few largest singular values and corresponding singular vectors. Finally, an initial denoised image is generated by aggregating all processed patches. For low-rank matrices, SVD can provide the optimal energy compaction in the least square sense. The proposed method exploits the optimal energy compaction property of SVD to lead an LRA of similar patch groups. Unlike other SVD-based methods, the LRA in SVD domain avoids learning the local basis for representing image patches, which usually is computationally expensive. The experimental results demonstrate that the proposed method can effectively reduce noise and be competitive with the current state-of-the-art denoising algorithms in terms of both quantitative metrics and subjective visual quality.

关键词： Back projection image denoising low-rank approximation (LRA) patch grouping self-similarity singular value decomposition (SVD)

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Efficient GPU Computing Framework of Cloud Filtering in Remotely Sensed image processing

Efficient GPU Computing Framework of Cloud Filtering in Remo...

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International Conference on Digital image Computing - Techniques and Applications (DICTA)

作者： Ke, Jing Sowmya, Arcot Guo, Yi Bednarz, Tomasz Buckley, Michael UNSW Sch Comp Sci & Engn CSIRO DATA61 Sydney NSW Australia UNSW Sch Comp Sci & Engn Sydney NSW Australia Univ Western Sydney Math Sydney NSW Australia CSIRO DATA61 Brisbane Qld Australia CSIRO DATA61 Sydney NSW Australia

ISBN: (纸本)9781509028962

For optical remote sensing images, an effective method to reduce or eliminate the impact of clouds is important. With big data input and real-time processing demands, efficient parallelization strategies are essential for high performance computing on multi-core systems. This paper proposes an efficient high performance parallel computing framework for cloud filtering and smoothing. A comparison and benchmarking of two parallel algorithms for cloud filtering that incorporates spatial smoothing solved by two-dimensional dynamic programming is implemented. The experiments were carried out on an NVIDIA GPU accelerator with evaluations of approximation, parallelism and performance. The test results show significant performance improvements with high accuracy compared with sequential CPU implementation, and can be applied to other multi-core systems.

关键词： GPU parallel computing dynamic programming performance cloud removal remotely sensed image processing

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Human features extraction by using anatomical and low level image descriptors from whole body images 21

Human features extraction by using anatomical and low level ...

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21st Symposium on Signal processing, images and Artificial Vision (STSIVA)

作者： Munera, Nicolas Alvarez, Charlems Sastoque, Sebastian Iregui, Marcela Univ Mil Nueva Granada Acceder Res Grp Bogota Colombia

ISBN: (纸本)9781509037971

Interaction experience in multimedia systems can be improved by adding personalization. Current applications for building and animating characters to represent real users are typically based on pose and motion detection. For so doing, computer vision algorithms do not exploit the anatomical characteristics of the human body for improving their classification accuracy. This work presents an strategy that considers age-group, body shape and height estimation by using anatomical low level descriptors. The proposed strategy allows to differentiate children from adults, and under-weighted and normal body shaped from over-weighted individuals, based on a set of features extracted from full body images and a classification process based on Support Vector Machine (SVM). These classification models were evaluated using a 10-fold cross validation, obtaining an area under the ROC curve of 89 % and 92 % respectively for age-group and body shape. On the other hand, the height of a person was computed by using a reference image in a leave-one-out evaluation and, in comparison with the real one, an square error (MSE) of 17 cm was obtained.

关键词： Multimedia systems

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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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Superpixel-guided multiscale kernel collaborative representation for hyperspectral image classification

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REMOTE SENSING LETTERS 2016年第10期7卷 975-984页

作者： Liu, Jianjun Xiao, Zhiyong Xiao, Liang Jiangnan Univ Sch Internet Things Engn Wuxi Peoples R China Nanjing Univ Sci & Technol Key Lab Intelligent Percept & Syst High Dimens In Minist Educ Nanjing Jiangsu Peoples R China

This article presents a superpixel-guided multiscale kernel collaborative representation method for robust classification of hyperspectral images. This novel method first exploits the spatial multiscale information of hyperspectral images by extending a superpixel segmentation algorithm, and then proposes a spatial-spectral information fusion technique to encode the spatial multiscale similarities and the spectral similarities between the pixels in the framework of kernel collaborative representation classification. The advantages of it mainly consist in (1) avoiding choosing empirical parameters in the spatial feature extraction process of superpixels and (2) enhanced classification accuracy as compared to traditional spatial-spectral kernel techniques. Experimental results with two widely used hyperspectral images demonstrate the effectiveness of the proposed method.

关键词： KERNEL functions OPTICAL images algorithms PIXELS image processing

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用于机械系统瞬时目标的双视角高速视觉检测系统

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光学精密工程 2017年第10期25卷 2725-2735页

作者：王耀东朱力强余祖俊郭保青北京交通大学机械与电子控制工程学院北京100044

基于高速相机研发了双视角高速视觉检测系统。该系统可从不同角度对周期机械运动进行长时间、无接触的同步实时检测,并可自动判断和存储异常动作的瞬时高帧率视频图像。基于机械系统运动特性提取理论,提出了多视角高帧率视频图像的离线... 详细信息

基于高速相机研发了双视角高速视觉检测系统。该系统可从不同角度对周期机械运动进行长时间、无接触的同步实时检测,并可自动判断和存储异常动作的瞬时高帧率视频图像。基于机械系统运动特性提取理论,提出了多视角高帧率视频图像的离线处理算法,利用两个高速相机准确建立了样本图像数据库及它们的对应关系。提出了多视角同步实时检测算法,完成了对目标的实时视觉检测,并实现了瞬时保存关键图像的功能。为验证算法的有效性和系统的稳定性,搭建了双视角高速视觉检测系统,对真实的机械系统进行了实验。结果显示,提出的系统实现了500fps的双目高速相机同步检测,以及0.1s内运动目标的自动判断,同时完成了对关键图像的瞬时保存。文中的研究为机械系统的非接触检测提供了一种高速可视化的检测方法。

关键词：计算机视觉高速视觉图像处理目标检测机械系统

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Design of Simulation Platform for Missile-borne SAR Imaging 8

Design of Simulation Platform for Missile-borne SAR Imaging

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8th International Conference on Intelligent Human-Machine systems and Cybernetics (IHMSC)

作者： Chen, Qi Zhu, Mingbo Li, Xiangping Guo, Tao Zou, Xiaohai Naval Aeronaut & Astronaut Univ Dept Elect & Informat Engn Yantai Peoples R China CEMEE State Key Lab Luoyang Peoples R China

ISBN: (纸本)9781509007684

Missile-borne synthetic aperture radar (SAR) imaging system is built up according to actual working principle, it uses the input data and embedded algorithms to simulate echo, then generate SAR image. Relevant algorithms is analyzed, a SAR echo simulation method based on graphic processing unit (GPU) acceleration is presented to satisfy the request of real-time. Simulation platform realized by MATLAB GUI turns out to be reliable and interactive, it can meet the demand for missile-borne SAR system test and development, and has some practical value.

关键词： Synthetic aperture radar (SAR) Graphic processing unit (GPU) Simulation platform Interactive

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An Affinity-Based Algorithm in Nonsubsampled Contourlet Transform Domain: Application to Synthetic Aperture Radar image Denoising

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JOURNAL OF SIGNAL processing systems FOR SIGNAL image AND VIDEO TECHNOLOGY 2016年第3期83卷 373-388页

作者： Tian, Xiaolin Jiao, Licheng Guo, Kaiwu Xidian Univ Int Res Ctr Intelligent Percept & Computat Minist Educ Key Lab Intelligent Percept & Image Understanding Xian Peoples R China Xidian Univ Inst Intelligent Informat Proc Xian 710071 Peoples R China

An algorithm in which affinity is merged into nonsubsampled contourlet transform (NSCT) to denoise synthetic aperture radar (SAR) image is proposed. The important information (boundaries or details) or non-important information (homogeneous area) in a SAR image is estimated based on affinity matrix, by which the affinity-based denoising assigns a high affinity element to the coefficients of NSCT that belong to same region. The foreground and background in NSCT domain are automatically initialized which avoids the need for user initialization. Foreground probability obtained by optimizing objective function can be used to achieve the posterior ratio. Combining the posterior ratio and prior ratio, we can obtain the shrunk coefficients. The proposed algorithm was applied to real SAR images denoising and compared through the SAR image vision effect, the equivalent number of looks (ENL) and the edge sustain index (ESI). Experimental results show that the proposed algorithm outperforms the compared algorithms and achieves the better denoising result and edge preservation.

关键词： Nonsubsampled contourlet transform (NSCT) Affinity Denoising Synthetic aperture radar (SAR) image

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Performance-Aware Architectures for Parallel 4D Color fMRI Filtering Algorithm: A Complete Performance Indices Package

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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED systems 2016年第7期27卷 2116-2129页

作者： Hasan, Sami Al Nahrain Univ Dept Syst Engn Coll Informat Engn Baghdad 64074 Iraq

A parallel 4D fMRI filtering algorithmis proposed to overcome the bottlenecks of large 4D volumetric fMRI data and its overlapping segments by input decimation, multidimensional intensive computation by parallel processing and the boundary conditions by output interpolation. Three spatial convolution architectures implement this parallel multidimensional filtering algorithm in Virtex-6 FPGA board, as automated 4D fMRI filtering systems. These three automated filtering systems are devised as "plug and develop" processors to filter any 4D volumetric data. Then, two sets of generic Edge and noise smoothing filtering operators are prototypically plugged and developed to be improved for filtering a dementia case study of color 256 x 256 x 4 x 3 volumetric fMRI. Accordingly, performance indices of the three architectures are evaluated as a complete package of area, speed, dynamic power, and throughput. Significant improvements have been achieved in keeping a stable speed, decreasing power consumption and increasing throughput in color fMRI filtering applications. All three architectures have an operating (225 MHz) maximum frequency. The power consumption improved more than two-fold using architecture 2 compared to 3. The highest throughput is achieved by architectures 2 and 3 almost (2.5) times than that of architecture 1. Evidently, all three architectures are performance-aware processors, and architecture 2 is optimal.

关键词： Computational neuroscience parallel algorithms parallel architectures performance of systems fMRI FPGA speed logic area power throughput digital signal processing biomedical image filtering 3D 4D 4D throughput performance indices dementia case study

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