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检索条件"任意字段=17th Image Processing: Algorithms and Systems Conference, IPAS 2019"

共 249 条记录，以下是71-80 订阅

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Evolutionary-based image encryption with dna coding and chaotic systems 1

引用

17th International conference on Web Information systems and Applications, WISA 2020

作者： Qin, Shiyue Tan, Zhenhua Zhang, Bin Zhou, Fucai School of Computer Science and Engineering Northeastern University Shenyang China Software College Northeastern University Shenyang China

ISBN: (数字)9783030600297

ISBN: (纸本)9783030600280

In order to obtain encrypted image with optimal correlation coefficient, we propose a new evolutionary-based image encryption scheme in this paper, based on DNA coding, chaotic systems, and a genetic algorithm (GA). Firstly, the DNA encoding operation is performed over the original plain image. then logistic mapping and hyper-chaotic systems are used to create the number of encrypted images over the DNA matrices. We fix these encrypted images as the initial population for the GA, and the GA is applied to them to determine the best one based on the fitness function. the correlation coefficient is used to define the fitness function in this paper. Finally, after the evolution, the encrypted image with the lowest correlation coefficient will be obtained as the final result. the novelty of this research is in using the logistic map over the DNA matrix of the original image directly, which will make the initial group of encrypted images more secure and with lower initial fitness for the GA. therefore, the scheme will achieve high fitness in fewer iterations and retain the efficiency of the encryption. Experimental results confirm that the proposed scheme not only has a good encryption effect, but also has the ability of resisting statistical analysis attacks, brute force attacks, and differential attacks. © Springer Nature Switzerland AG 2020.

关键词： Genetic algorithms

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Acoustic Monitoring – A Deep LSTM Approach for a Material Transport Process 17th

Acoustic Monitoring – A Deep LSTM Approach for a Material T...

引用

17th International conference on Computer Aided systems theory, EUROCAST 2019

作者： Husaković, Adnan Mayrhofer, Anna Pfann, Eugen Huemer, Mario Gaich, Andreas Kühas, thomas Primetals Technologies Austria GmbH Turmstr. 44 Linz4031 Austria Institute of Signal Processing Johannes Kepler University Linz4040 Austria

ISBN: (纸本)9783030450953

Robust classification strongly depends on the combination of properly chosen features and the classification algorithm. this paper investigates an autoencoder for feature fusion together with recurrent neural networks such as the Long Short-Term Memory neural networks (LSTMs) in different configurations applied to a dataset of a material transport process. As an important outcome the investigations show that the application of features acquired from the autoencoder bottleneck layer in combination with a bidirectional LSTM improve the classification algorithm significantly and require fewer features in comparison to standard machine learning algorithms. © 2020, Springer Nature Switzerland AG.

关键词： Long short-term memory

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Feedback alfa-rooting algorithm for medical image enhancement 17

Feedback alfa-rooting algorithm for medical image enhancemen...

引用

17th image processing: algorithms and systems conference, ipas 2019

作者： Voronin, V. Zelensky, A. Agaian, S. Don State Technical University Lab. «Mathematical Methods of Image Processing and Computer Vision Intelligent Systems» Gagarina 1 Rostov on Don Russia Moscow State University of Technology "STANKIN" Moscow Russia CUNY/ College of Staten Island Dept. of Computer Science New York United States

this paper presents a new combined local and global transform domain-based feedback image enhancement algorithm for medical diagnosis, treatment, and clinical research. the basic idea in using local alfa-rooting method is to apply it to different disjoint blocks with different sizes. the block size and alfa-rooting parameters driven through optimization using the Agaian's cost function (image enhancement non-reference quality measure). the presented new approach allows enhancing MRI and CT images with uneven lighting and brightness gradient by preserving the local image features/details. Extensive computer simulations (CS) on real medical images are offered to gage the presented method. CS shows that our method improves the contrast and enhances the details of the medical images effectively compared with the current state-of-art methods. © 2019, Society for Imaging Science and Technology.

关键词： Clinical research

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Specular reflection detection algorithm for endoscopic images 17

Specular reflection detection algorithm for endoscopic image...

引用

17th image processing: algorithms and systems conference, ipas 2019

作者： Voronin, V. Semenishchev, E. Zelensky, A. Agaian, S. Don State Technical University Dept. of Radio-Electronics Systems Gagarina 1 Rostov on Don Russia Moscow State University of Technology "STANKIN" Moscow Russia CUNY College of Staten Island Dept. of Computer Science New York United States

Endoscopy is a process that allows viewing/ visualize the inside of a human body. In this article, we propose a specular reflection detection algorithm for endoscopic images that utilizes intensity, saturation and gradient information. the proposed algorithm is a two-stage procedure: (a) image enhancement using an adaptive alpha-rooting algorithm and (b) an efficient reflection detection algorithm in the HSV color space. the extensive computer simulations show a significant improvement over state-of-the-art results for specular reflection detection and segmentation accuracy. © 2019, Society for Imaging Science and Technology.

关键词： Endoscopy

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Additive spatially correlated noise suppression by robust block matching and adaptive 3D filtering 17

Additive spatially correlated noise suppression by robust bl...

引用

17th image processing: algorithms and systems conference, ipas 2019

作者： Rubel, Oleksii Lukin, Vladimir Egiazarian, Karen National Aerospace University ''KhAI '' Department of Information and Communication Technologies Kharkiv Ukraine Tampere University of Technology Signal Processing Laboratory Tampere Finland

the evolution of modern sensors for image acquisition brings as much obstacles as many possibilities to obtain multidimensional data with high resolution and rich information. One of the most perceptible destructive factors in visual data is noise. Due to complexity of modern sensors and approaches to signal collecting or preprocessing, noise model becomes complicated. the article's goal is to introduce and solve a problem of suppressing additive spatially correlated noise (ASCN) which is present in images due to different sources and has various levels of correlation. It is shown that even modern filters attempting to suppress correlated noise often demonstrate unsatisfactory efficiency. Here we propose and analyze two modifications of 2D discrete cosine transform (DCT) based filter and the state-of-the-art BM3D technique. Both are based on accounting spatial spectrum of the noise by setting frequency-dependent thresholds. Furthermore, the modified BM3D filter exploits a similarity measure robust to noise spectrum in block matching. © 2018 Society for Imaging Science and Technology.

关键词： Additives

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DeepCompareJ: Comparing image Classification Models 17th

DeepCompareJ: Comparing Image Classification Models

引用

17th International conference on Computer Aided systems theory, EUROCAST 2019

作者： Inés, A. Domínguez, C. Heras, J. Mata, E. Pascual, V. Department of Mathematics and Computer Science University of La Rioja Logroño Spain

ISBN: (纸本)9783030450953

image classification is a computer vision task that has several applications in diverse fields like security, biology or medicine;and, currently, deep learning techniques have become the state-of-the-art to create image classification models. this growing use of deep learning techniques is due to the large amount of data, the fast increase of the computer processing capacity, and the openness of deep learning tools. However, whenever deep learning techniques are used to solve a classification problem, we can find several deep learning frameworks with their own peculiarities, and different models in each framework;hence, it is natural to wonder which option fits better our problem. In this paper, we present DeepCompareJ, an open-source tool that has been designed to compare, with respect to a given dataset, the quality of deep models created using different frameworks. © 2020, Springer Nature Switzerland AG.

关键词： image classification

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Proximity Contours: Vision based Detection and Tracking of Objects in Manufacturing Plants using Industrial Control systems 17

Proximity Contours: Vision based Detection and Tracking of O...

引用

17th IEEE International conference on Industrial Informatics (INDIN)

作者： Shishira, S. Rao, Vidyadhar Sudarsan, Sithu D. ABB Corp Res Ctr Bengaluru India

ISBN: (纸本)9781728129273

In a typical manufacturing setup, field sensors are used to detect the presence of moving material on the production line. Sensory information is interfaced with a centralized control systems for continuous and long distance monitoring. However, the field sensors are prone to failures and may cause frequent down-times which in turn causes reduction in productivity. In this paper, a practical and comprehensive visual inspection system is proposed to automatically control the plant operations. the proposed approach improves productivity and solves several challenges including the speed of execution to support real-time operations, number and choice of image processing stages as well as associated techniques and algorithms. the presented solution inspects a production process deployed in metal industry and detects the moving rods on a conveyor platform. the shape of the moving rods is characterized using a combination of GrabCut segmentation, and clustering-based image thresholding methods. To detect and track the movement of rods, proximity contours are identified using low-level pixel information of only two images: one when the conveyor is fully occupied with the rods and the other when the conveyor is empty. Further, this visual sensory information is used to automatically generate control logic for tracking and monitoring a conveyor platform and can be smoothly integrated with industrial control system enabling real-time closed loop operations.

关键词： image Segmentation Material Detection Closed-loop systems Industrial Control systems Industry 4.0

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Research on low delay audio convolution algorithm combining mobile and cloud 21

Research on low delay audio convolution algorithm combining ...

引用

21st IEEE International conference on High Performance Computing and Communications, 17th IEEE International conference on Smart City and 5th IEEE International conference on Data Science and systems, HPCC/SmartCity/DSS 2019

作者： Cai, Xilong Hu, Wei Wang, Yonghao College OfComputer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing Real-time Industrial System Wuhan China DMT Lab Birmingham City University Birmingham United Kingdom

ISBN: (纸本)9781728120584

Nowadays, intelligent mobile devices become most wide mobile multimedia terminals. But limited by performance and battery life, traditional audio architectures and algorithms cannot meet increasingly complex processing requirements. In this paper, the traditional audio convolution algorithm and audio architecture are analyzed. Based on the optimization of the block convolution algorithm, and combined with the cloud GPU, a dynamic task allocation low latency convolution algorithm is proposed under cloud hybrid systems. the experimental results show that the convolution algorithm can effectively reduce the workload of the mobile terminal, reduce the CPU usage of the mobile terminal, and realize the real-time audio mixing processing in complex scenes on mobile terminals with limited performance. © 2019 IEEE.

关键词： Graphics processing unit

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Scene-and-process-dependent spatial image quality metrics 17

Scene-and-process-dependent spatial image quality metrics

引用

17th image Quality and System Performance conference, IQSP 2020

作者： Fry, Edward W. S. Triantaphillidou, Sophie Jenkin, Robin B. Jacobson, Ralph E. Jarvis, John R. Faculty of Science and Technology University of Westminster United Kingdom NVIDIA Corporation 2788 San Tomas Expressway Santa ClaraCA95050 United States

Spatial image quality metrics designed for camera systems generally employ the Modulation Transfer Function (MTF), the Noise Power Spectrum (NPS) and a visual contrast detection model. Prior art indicates that scene-dependent characteristics of non-linear, content-aware image processing are unaccounted for by MTFs and NPSs measured by traditional methods. the authors present two novel metrics: the log Noise Equivalent Quanta (log NEQ) and Visual log NEQ. they both employ Scene-and-Process-Dependent MTF (SPD-MTF) and NPS (SPD-NPS) measures, which account for signal transfer and noise scene dependency, respectively. the authors also investigate implementing contrast detection and discrimination models that account for scene-dependent visual masking. Also, three leading camera metrics are revised to use the above scene-dependent measures. All metrics are validated by examining correlations with the perceived quality of images produced by simulated camera pipelines. Metric accuracy improved consistently when the SPD-MTFs and SPD-NPSs were implemented. the novel metrics outperformed existing metrics of the same genre. © 2019 Society for Imaging Science and Technology.

关键词： Optical transfer function

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A dynamic multi-strategies scheduling algorithm for heterogeneous computing systems 21

A dynamic multi-strategies scheduling algorithm for heteroge...

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作者： Lv, Xiangyu Hu, Wei Wang, Yonghao College of Computer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing Real-time Industrial System China Digital Media Lab Birmingham City University United Kingdom

ISBN: (纸本)9781728120584

Efficient scheduling algorithms play an essential part in heterogeneous computing systems (HeCS) to achieve high performance. So we proposed a new efficient dynamic multi-strategies scheduling algorithm (DMS). the basic idea of this algorithm is to reduce communication in the priority calculation phase and task mapping phase. In the priority calculation phase, the algorithm increases the weight of the task. During the task mapping phase, three approaches for mapping tasks are proposed, and the method which reduces the most communication time among the three approaches is chosen as the task mapping standard. the results of the algorithm presented in this paper demonstrate improved performance in terms of speedup, and schedule length ratio. © 2019 IEEE.

关键词： Scheduling algorithms

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