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检索条件"机构=Processing and Pattern Recognition Laboratory"
773 条 记 录,以下是731-740 订阅
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Text scanner with text detection technology on image sequences
Text scanner with text detection technology on image sequenc...
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International Conference on pattern recognition
作者: Keechul Jung Kwang In Kim T. Kurata M. Kourogi JungHyun Han Pattern Recognition and Image Processing Laboratory Michigan State University USA Artificial Intelligence Laboratory KAIST South Korea National Institute for Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sung Kyun Kwan University South Korea
We propose a text scanner which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron.... 详细信息
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FVC2002: Second Fingerprint Verification Competition
FVC2002: Second Fingerprint Verification Competition
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International Conference on pattern recognition
作者: D. Maio D. Maltoni R. Cappelli J.L. Wayman A.K. Jain Biometric System Lab-DEIS University of Bologna Cesena Italy Biometric Test Center College of Engineering San Jose State University Foundation San Jose CA USA Pattern Recognition and Image Processing Laboratory Michigan State University East Lansing MI USA
Two years after the first edition, a new Fingerprint Verification Competition (FVC2002) was organized by the authors, with the aim of determining the state-of-the-art in this challenging pattern recognition applicatio... 详细信息
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Terrain Simplification Research in Augmented Scene Modeling
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Journal of China University of Geosciences 2001年 第4期12卷 351-355页
作者: Ming Delie You Kefei Tian Jinwen Liu Jian State Key laboratory for Image processing and Intelligent Control, Institute for pattern recognition and Artificial Intelligence , Huazhong University of Science and Technology , Wuhan 430074 Wang Guangju State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 Faculty of Information Engineering China University of Geosciences Wuhan 430074
Augmented reality is the merging of synthetic sensory information into a user's perception of a real environment. As one of the most important tasks in augmented scene modeling, terrain simplification research has... 详细信息
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Gravel Image Segmentation in Noisy Background Based on Partial Entropy Method
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中国地质大学学报(英文版) 2000年 第1期11卷 92-94页
作者: Wang Guangjun Tian Jinwen Chen Zhenyu Liu Jian Wu Guoping State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology WuHan 430074 Faculty of Information Engineering China University of Geosciences Wuhan 430074
Because of wide variation in gray levels and particle dimensions and the presence of many small gravel objects in the background, as well as corrupting the image by noise, it is difficult o segment gravel objects. In ... 详细信息
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A new approach to finite wordlength coefficient fir digital filter design using the branch and bound technique  10
A new approach to finite wordlength coefficient fir digital ...
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2000 10th European Signal processing Conference, EUSIPCO 2000
作者: Belbachir, A.N. Boulerial, B. Belbachir, M.F. Signal and System Laboratory Electronic Institute U.S.T.O. B.P. 1505 El Mnouer Oran Algeria Vienna University of Technology Pattern Recognition and Image Processing Group Favritenstr. 9/1832 ViennaA-1040 Austria
It has been shown that the branch and bound technique is effective for the design of finite wordlength optimal digital filters. This technique is however expensive in computing time. In this paper, we present a robust... 详细信息
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Texture Segmentation Based on Image Model and Neural Network
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Journal of Earth Science 1999年 第4期18卷 333-335页
作者: Chen Zhenyu Sheng Wen Wang Guangjun Li Dehua(State Education Commission laboratory for Image processing and Intelligence Control, Institute for pattern recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wu han 430074) State Education Commission Laboratory for Image Processing and Intelligence Control Institute for Pattern Recognition and Artificial IntelligenceHuazhong University of Science and TechnologyWuhan 430074
This paper presents a texture segmentation approach which is based on the Markov random field model (MRF) and feed forward neural *** texture is modeled by the second order Gauss MRF model, and the least square error ... 详细信息
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Impulse noise removal using linear prediction model
Impulse noise removal using linear prediction model
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4th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services, ITELSIKS 1999
作者: Prudyus, Ivan Voloshynovskiy, Sviatoslav Rytsar, Yuriy Holotyak, Taras Radio Engineering Faculty State University Lvivska Polytechnika 12 S.Bandery Str. Lviv 290646 Ukraine Coordinated Science Laboratory University of Illinois College of Engineering 1308 West Main Street Urbana IL 61801-2307 United States Department of Image Processing and Pattern Recognition Institute of Physics and Mechanics National Academy of Science of Ukraine 5 Naukova str. Lviv Ukraine
Noise removal is an important problem in many applications. In this paper a new two-step scheme of the decision-based impulse noise removal method by means of contaminated pixel detection is proposed and comparison wi... 详细信息
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Impulse noise removal using linear prediction model
Impulse noise removal using linear prediction model
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International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)
作者: I. Prudyus S. Voloshynovskiy Y. Rytsar T. Holotyak National University Lvivska Politechnika Lviv Ukraine Coordinated Science Laboratory College of Engineering University of Illinois Urbana IL USA Department of Image Processing and Pattern Recognition Institute of Physics and Mechanics National Academy of Sciences Lviv Ukraine
Noise removal is an important problem in many applications. In this paper a new two-step scheme of the decision-based impulse noise removal method by means of contaminated pixel detection is proposed and comparison wi... 详细信息
来源: 评论
Edge Detection Using Image Feature Detector
Edge Detection Using Image Feature Detector
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1998 Fourth International Conference Signal processing
作者: Yang Xuan Liang Dequn Yang Haijun Laboratory of Image Processing and Pattern Recognition Xi'an Jiaotong University
A new edge detection operator based on image feature is proposed,which analyze edges in image for edge feature in two *** local extreme of the operator is created at the edge location and low value is created at the s... 详细信息
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Edge detection using image feature detector
Edge detection using image feature detector
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International Conference on Signal processing Proceedings (ICSP)
作者: Yang Xuan Liang Dequn Yang Haijun Laboratory of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an China
A new edge detection operator based on image features is proposed, which analyzes edges in images for edge features in two dimensions. The local extreme of the operator is created at the edge location and a low value ... 详细信息
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