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检索条件"机构=Lab. of Image Science and Technology"
113 条 记 录,以下是21-30 订阅
排序:
An active contour model for medical image segmentation using a quaternion framework  18
An active contour model for medical image segmentation using...
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18th image Processing: Algorithms and Systems Conference, IPAS 2020
作者: Voronin, V. Zhdanova, M. Semenishchev, E. Zelensky, A. Agaian, S. Moscow State University of Technology "STANKIN" Moscow Russia Don State Technical University Lab. «Mathematical methods of image processing and computer vision Intelligent Systems» Gagarina 1 Rostov on Don Russia CUNY/ College of Staten Island Dept. of Computer Science New York United States
This paper presents a new method for segmenting medical images is based on Hamiltonian quaternions and the associative algebra, method of the active contour model and LPA-ICI (local polynomial approximation - the inte... 详细信息
来源: 评论
DONet: Dual-octave network for fast MR image reconstruction
arXiv
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arXiv 2021年
作者: Feng, Chun-Mei Yang, Zhanyuan Fu, Huazhu Xu, Yong Yang, Jian Shao, Ling Shenzhen Key Laboratory of Visual Object Detection and Recognition Harbin Institute of Technology Shenzhen518055 China School of Automation Engineering University of Electronic Science and Technology of China 611731 China Inception Institute of Artificial Intelligence Abu Dhabi United Arab Emirates PCA Laboratory Key Lab. of Intelligent Percept. and Syst. for High-Dimensional Information of Ministry of Education Nanjiang University of Science and Technology Nanjiang210094 China Jiangsu Key Laboratory of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China
Magnetic resonance (MR) image acquisition is an inherently prolonged process, whose acceleration has long been the subject of research. This is commonly achieved by obtaining multiple undersampled images, simultaneous... 详细信息
来源: 评论
Feedback alfa-rooting algorithm for medical image enhancement  17
Feedback alfa-rooting algorithm for medical image enhancemen...
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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 metho... 详细信息
来源: 评论
The quaternion-based anisotropic gradient for the color images  17
The quaternion-based anisotropic gradient for the color imag...
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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
image gradient, as a preprocessing step is an essential tool in image processing in many research areas such as edge detection, segmentation, smoothing, inpainting, etc. In the present paper, we develop a new gradient... 详细信息
来源: 评论
Improved Local Texture Features for Pedestrian Detection  3
Improved Local Texture Features for Pedestrian Detection
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3rd IEEE International Conference on image, Vision and Computing, ICIVC 2018
作者: Ling, Xiao Yongjun, Zhang Qian, Wang Yuewei, Li College of Computer Science and Technology Key Lab. of Intelligent Med. Image Anal. and Precise Diagn. of Guizhou Province Guizhou University Guiyang China
Pedestrian detection is a hot issue in the field of computer vision and image processing in recent years. It has important application value in the domain of unmanned cars and driver assistance systems and so on, but ... 详细信息
来源: 评论
PILAE: A non-gradient descent learning scheme for deep feedforward neural networks
arXiv
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arXiv 2018年
作者: Guo, Ping Wang, Ke Zhou, XiuLing The Image Processing & Pattern Recognition Lab. School of Systems Science Beijing Normal University Beijing100875 China The School of Information Engineering Zhengzhou University Zhengzhou450001 China The Department of Technology and Industry Development Beijing City University Beijing100083 China
In this work, a non-gradient descent learning (NGDL) scheme was proposed for deep feedforward neural networks (DNN). It is known that an autoencoder can be used as the building blocks of the multi-layer perceptron (ML... 详细信息
来源: 评论
Adaptive attention fusion network for visual question answering
Adaptive attention fusion network for visual question answer...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Geonmo Gu Seong Tae Kim Yong Man Ro Image and Video Systems Lab. KAIST Daejeon Korea Image and Video Systems Lab. Korea Advanced Institute of Science and Technology Daejeon Daejeon KR
Automatic understanding of the content of a reference image and natural language questions is needed in Visual Question Answering (VQA). Generating a visual attention map that focuses on the regions related to the con... 详细信息
来源: 评论
Blind Visual Quality Assessment for Smart Cloud-Based Video Storage
Blind Visual Quality Assessment for Smart Cloud-Based Video ...
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IEEE International Conference on Smart Cloud (SmartCloud)
作者: Vladimir Frants Viacheslav Voronin Alexander Zelenskiy Sos Agaian Metrological lab. “Small GIC” Moscow State University of Technology “STANKIN” Moscow Russian Federation Pro-rector for Research Work and R&D Politics Moscow State University of Technology “STANKIN” Moscow Russian Federation Lab. “Mathematical methods of image processing and intelligent computer vision systems.” Don State Technical University Rostov-on-Don Russian Federation Dept. of Computer Science CUNY The College of Staten Island Staten Island New York United States
In this paper, we present a new video quality metric targeted for use within cloud-based video storage systems. Because of the limited capacity of storage solutions currently in use, it is common for stored videos to ... 详细信息
来源: 评论
Smart Cloud System for Forensic Thermal image Enhancement Using Local and Global Logarithmic Transform Histogram Matching
Smart Cloud System for Forensic Thermal Image Enhancement Us...
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IEEE International Conference on Smart Cloud (SmartCloud)
作者: Viacheslav Voronin Evgenii Semenishchev Vladimir Frants Sos Agaian Lab. “Mathematical methods of image processing and intelligent computer vision systems” Don State Technical University Rostov-on-Don Russian Federation “STANKIN” Moscow State University of Technology Moscow Russian Federation Dept. of Computer Science CUNY/The College of Staten Island Staten Island New York United States
Digital images used in the investigation of a crime often undergo several concurrent enhancement operations for improved automated analysis. The challenges are related to the big size of data and complexity of the for... 详细信息
来源: 评论
Measurement of amplitude of the moiré patternsin digital autostereoscopic 3D display
arXiv
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arXiv 2017年
作者: Saveljev, Vladimir Kim, Sung-Kyu NEMO Lab. Department of Physics Myongji University Yongin-si Gyeonggi-do17058 Korea Republic of Center for Image Media Research Korea Institute of Science and Technology Seoul136-791 Korea Republic of
The article presents the experimental measurements of the amplitude of the moiré patterns in a digital autostereoscopic barrier-type 3D display across a wide angular range with a small increment. The period and o... 详细信息
来源: 评论