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检索条件"任意字段=16th Image Processing: Algorithms and Systems Symposium 2018"

共 650 条记录，以下是161-170 订阅

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A novel approach to detect outer retinal tubulation using U-Net in SD-OCT images 15

A novel approach to detect outer retinal tubulation using U-...

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15th International Conference on Signal image Technology and Internet Based systems, SISITS 2019

作者： Megyeri, Istvan Katona, Melinda Nyul, Laszlo G. Department of Computer Algorithms and Artificial Intelligence Hungary Department of Image Processing and Computer Graphics University of Szeged Hungary

ISBN: (数字)9781728156866

ISBN: (纸本)9781728156866

Optical Coherence Tomography (OCT) has become a basic non-invasive tool in diagnosing and following different types of eye diseases. this technique can produce high-resolution cross-sectional images of retinal layers. Outer retinal tubulation (ORT) is one of the detectable biomarker by SD-OCT. ORTs defined as hyporeflective, tubular structures with hyperreflective borders or reversed within the retina and appear in many retinal diseases, including age-related macular degeneration (AMD). Our aim is to develop an automatic method that can efficiently characterize ORT biomarker. Detection of this biomarker can be challenging because of its variable size, location, and reflectivity. In this paper, we present a fully convolutional U-Net based architecture to detect ORT. the proposed approach is evaluated using a dataset annotated by ophthalmologists. One of the main challenges was the limited amount of training data that we resolve with real-time augmentation during training and using nested cross-validation. Our method achieved near human performance reaching an overall object-based recall score of 0.847 and Dice score of 0.579 on the test set. © 2019 IEEE.

关键词： Optical tomography

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Demo: Empowering cyber-physical systems with FADEX 16

Demo: Empowering cyber-physical systems with FADEX

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16th ACM International Conference on Mobile systems, Applications, and Services,MobiSys 2018

作者： Cozzolino, Vittorio Ding, Aaron Yi Sani, Ardalan Amiri Mortier, Richard Kutscher, Dirk Ott, Jörg Technical University of Munich Germany UC Irvine United States University of Cambridge United Kingdom Huawei China

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Fully Convolutional Networks for Ultrasound image Segmentation of thyroid Nodules 20

Fully Convolutional Networks for Ultrasound Image Segmentati...

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20th IEEE International Conference on High Performance Computing and Communications (HPCC) / 16th IEEE International Conference on Smart City (SmartCity) / 4th IEEE International Conference on Data Science and systems (DSS)

作者： Li, Xuewei Wang, Shuaijie Wei, Xi Zhu, Jialin Yu, Ruiguo Zhao, Mankun Yu, Mei Liu, Zhiqiang Liu, Shupei Tianjin Univ Sch Comp Sci & Technol Tianjin Peoples R China Tianjin Med Univ Canc Inst & Hosp Tianjin Peoples R China

ISBN: (纸本)9781538666142

Ultrasound image segmentation plays an important role in judgement of benign and malignant thyroid nodules. Compared with the traditional convolutional neural network, the fully convolutional networks has better sparsity, higher precision and faster training speed. In this paper, we develop an 8-layer fully convolutional networks for ultrasound image segmentation of thyroid nodules, which is called FCN-thyroid Nodules, or FCN-TN for short. We constructed a data set with 300 images to train FCN-TN. Each nodule is delineated by expert and served as ground truth for making comparison. the segmentation accuracy of 91% is obtained on the proposed network with 100 test images, which indicates that the fully convolutional networks has great potential in the field of ultrasound image segmentation of thyroid nodules.

关键词： thyroid nodule Ultrasound image processing Convolutional neural network Segmentation

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Blind image watermarking in Wavelet-domain robust to printing and smart-phone acquisition 16

Blind image watermarking in Wavelet-domain robust to printin...

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16th image processing: algorithms and systems symposium 2018

作者： Leopardi, Andrea Soresina, Davide Marcantonio, Davide Malacarne, Alain Conci, Nicola Boato, Giulia DISI University of Trento Italy

In these days and age, printed and digital images are the principal means of communication chosen by companies to convey information about their products, since visual contents produce a direct and effective influence on people. At the same time, imagery can be digitally enriched with additional information, imperceptible to the human eye, yet still retrievable using specific software or hardware: this is the case of digital watermarking. In this work, we propose a digital watermarking pipeline that performs information embedding robust to printing operations and enables blind detection from digital acquisitions. We select a watermark from a set of orthogonal antipodal matrices and adaptively insert repeated copies in the horizontal, vertical and diagonal sub-bands of the Wavelet domain. Blind detection is achieved denoising the digitally acquired marked image, retrieving the watermark information from the Wavelet domain, restoring the original scaling with an optimization algorithm and computing a similarity score with each of the possible orthogonal marks. Our system is able to reconstruct the embedded information both in the cases of acquisition from digital and printed watermarked images. It is able to recognize the correct mark among the set of possible messages, even when considering poor-quality printing systems. © 2018 Society for Imaging Science and Technology.

关键词： Smartphones

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IS and T International symposium on Electronic Imaging Science and Technology

IS and T International Symposium on Electronic Imaging Scien...

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16th image processing: algorithms and systems symposium 2018

the proceedings contain 29 papers. the topics discussed include: color visibility images and measures of image enhancement;an estimation method of human impression factors for objects from their 3D shapes using a deep neural network;sharpening image details using local phase congruency analysis;automatic banknote stain detection;robust linearized combined metrics of image visual quality;blind image watermarking in wavelet-domain robust to printing and smart-phone acquisition;1-bit tensor completion;learning adaptive parameter tuning for image processing;methods and tools for denoising of complex-valued images based on block-matching and high order singular value decomposition;deep P-Fibonacci scattering networks;separation of scanned media using a strip based methodology;blind estimation of white Gaussian noise variance in highly textured images;disparity estimation using fast motion-search algorithm and local image characteristics;combined local and global image enhancement algorithm;a similarity measurement method for diffuse lung disease CT slice image retrieval;compression of signs of DCT coefficients for additional lossless compression of JPEG images;rule-based optical character recognition for serial number on Renminbi banknote;color facial image representation with new quaternion gradients;and real-time 3DRS motion estimation for frame-rate conversion.

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Hybrid Precoder Design for mmWave Massive MIMO with Low-Resolution Phase Shifters

Hybrid Precoder Design for mmWave Massive MIMO with Low-Reso...

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International symposium on Wireless Communication systems (ISWCS)

作者： Yipu Yuan Li-Hsin Lee Jung-Lang Yu Biling Zhang Graduate Institute of Applied Science and Engineering Fu Jen Catholic Univ. New Taipei City Taiwan Department of Electrical Engineering Fu Jen Catholic Univ. New Taipei City Taiwan School of Network Education Beijing Univ. of Posts and Telecommunications Beijing P.R. China

Economical and energy-efficient hybrid digital and analog beamforming design in millimeter wave massive multiple-input multiple-output systems is of great interest in the future wireless communication. One major deficiency of most existing hybrid beamforming designs is the assumption of infinite or high-resolution phase shifters (PSs) in analog beamformer implementations. the employment of low-resolution PSs is more feasible because of hardware limitations. In this paper, we investigate the design of hybrid beamformers with low-resolution PSs in mmWave MIMO systems. In order to achieve better spectral efficiency, a joint codebook selection and precoder design scheme is presented. We first construct a set of shifted DFT codebooks, and then select the best one among them. Based on the chosen codebook, the optimal precoder and combiner can be determined using channel gain or searching algorithm. the computational complexity is also analyzed. Simulation results reveal the performance advantages of the proposed algorithms.

关键词： Array signal processing Radio frequency MIMO communication Complexity theory Baseband Phase shifters Discrete Fourier transforms

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Graph Approach in image Segmentation 4th

Graph Approach in Image Segmentation

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10th Conference of the European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT) / 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets (IWIFSGN)

作者： Guada, Carely Gomez, Daniel Tinguaro Rodriguez, J. Yanez, Javier Montero, Javier Univ Complutense Madrid Fac Math Madrid 28040 Spain Univ Complutense Madrid Fac Stat Madrid 28040 Spain Univ Complutense Madrid Geosci Inst UCM CSIC Madrid 28040 Spain

ISBN: (纸本)9783319668246;9783319668239

In this paper we discuss about graph approach in image segmentation. In first place, some main image processing techniques are classified based upon the output these methods provide. then, a fuzzy image segmentation definition is presented because in the literature review was found that it was not clearly defined. this definition of fuzzy image segmentation is then related to a hierarchical image segmentation procedure, so this concept is also formally defined in this work. As every output of an image processing algorithm has to be evaluated, then a method to evaluate a hierarchical segmentation output is proposed in order to later propose a method to evaluate a fuzzy image segmentation output. Computational experiences point to some advantages of the proposed hierarchical image segmentation procedure over other algorithms.

关键词： Graph approach Hierarchical segmentation Edge detection Benchmarking Fuzzy sets

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Disparity estimation using fast motion-search algorithm and local image characteristics 16

Disparity estimation using fast motion-search algorithm and ...

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16th image processing: algorithms and systems symposium 2018

作者： Chang, Yong-Jun Ho, Yo-Sung 123 Cheomdangwagi-ro Buk-gu Gwangju61005 Korea Republic of

A stereo matching method estimates the disparity value between two correspondences in both stereo images. the disparity value represents the depth information of objects obtained from stereo images which have two different viewpoints. In many papers, the stereo matching method is tested under limited disparity conditions. these conditions follow configurations of test images. However, the disparity range in real applications is not known for those conditions and configurations. In this case, we have to check all pixels in the scan line to find the correspondence. therefore, it is a time consuming task. thus, we propose a fast disparity estimation method using the limited search range. the proposed method limits the disparity search range with the fast motionsearch algorithm and local image characteristics. © 2018 Society for Imaging Science and Technology.

关键词： Stereo image processing

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Fast training and real-time classification algorithm based on Principal Component Analysis and F-transform 10

Fast training and real-time classification algorithm based o...

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Joint 10th International Conference on Soft Computing and Intelligent systems (SCIS) / 19th International symposium on Advanced Intelligent systems (ISIS)

作者： Hurtik, Petr Perfilieva, Irina Univ Ostrava CEIT4I IRAFM Ostrava Czech Republic

ISBN: (纸本)9781538626337

While machine learning algorithms become more and more accurate in image processing tasks, their computation complexity becomes less important because they can be run on more and more powerful hardware. In this work, we are considering the computation complexity of a machine learning algorithm training/classification phase as the major criterion. the main aim is given to the Principal Component Analysis algorithm, which is examined, its drawbacks are point-out and suppressed by the proposed combination with the F-transform technique. We show that the training phase of such a combination is very fast, which is caused by the fact that both PCA and F-transform algorithms reduce dimensionality. In the designed benchmark, we show that the success rate of the fast hybrid algorithm is the same as the original PCA, due to F-transform ability to capture spatial information and reduction of noise/distortion in an image. Finally, we demonstrate that PCA+FT is faster and can achieve a higher success rate than a standard Convolution Neural Network and nevertheless, it is slightly less accurate as a Capsule Neural Network for the chosen dataset, its training phase is 100000 x faster and classification time is faster 9x.

关键词： Principal Component Analysis PCA F-transform image classification algorithm complexity

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Combined local and global image enhancement algorithm 16

Combined local and global image enhancement algorithm

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16th image processing: algorithms and systems symposium 2018

作者： Voronin, V. Semenishchev, E. Ponomarenko, M. Agaian, S. Don State Technical University Dept. of Radio-Electronics Systems Gagarina 1 Rostov on Don Russia Tampere University of Technology Tampere Finland CUNY College of Staten Island Dept. of Computer Science New YorkNY United States

We present a new image enhancement algorithm based on combined local and global image processing. the basic idea is to apply α-rooting image enhancement approach for different image blocks. For this purpose, we split image in moving windows on disjoint blocks with different size (8 by 8, 16 by 16, 32 by 32 and, i.e.). the parameter alfa for every block driven through optimization of measure of enhancement (EME). the resulting image is a weighted mean of all processing blocks. this strategy for image enhancement allows getting more contrast image with the following properties: irregular lighting and brightness gradient. Some experimental results are presented to illustrate the performance of the proposed algorithm. © 2018 Society for Imaging Science and Technology.

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