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检索条件"机构=Pattern Recognition and Image Processing"
1790 条 记 录,以下是1731-1740 订阅
排序:
Voronoi pyramids and Hopfield networks
Voronoi pyramids and Hopfield networks
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International Conference on pattern recognition
作者: H. Bischof E. Bertin P. Bertolino Department f. Pattern Recognition and Image Processing Vienna Austria TIMC-IMAG Laboratory University of Grenoble Grenoble France
Presents an algorithm for image segmentation with irregular pyramids. Instead of starting with the original pixel grid, the authors first apply an adaptive Voronoi tessellation to the image. For irregular pyramid cons... 详细信息
来源: 评论
PCA-Pyramids for image Compression  7
PCA-Pyramids for Image Compression
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7th International Conference on Neural Information processing Systems, NIPS 1994
作者: Bischof, Horst Hornik, Kurt Department for Pattern Recognition and Image Processing Technical University Vienna Treitlstraße 3/1832 ViennaA-1040 Austria Institut für Statistik und Wahrscheinlichkeitstheorie Technische Universität Wien Wiedner Hauptstraße 8-10/1071 ViennaA-1040 Austria
This paper presents a new method for image compression by neural networks. First, we show that we can use neural networks in a pyramidal framework, yielding the so-called PCA pyramids. Then we present an image compres... 详细信息
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PCA-pyramids for image compression  94
PCA-pyramids for image compression
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Proceedings of the 8th International Conference on Neural Information processing Systems
作者: Horst Bischof Kurt Hornik Department for Pattern Recognition and Image Processing Technical University Vienna Vienna Austria Institut für Statistik und Wahrscheinlichkeitstheorie Technische Universität Wien Vienna Austria
This paper presents a new method for image compression by neural networks. First, we show that we can use neural networks in a pyramidal framework, yielding the so-called PCA pyramids. Then we present an image compres...
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Generalized stochastic tube model: tracking 3D blood vessels in MR images
Generalized stochastic tube model: tracking 3D blood vessels...
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International Conference on pattern recognition
作者: Qian Huang G.C. Stockman Almaden Research Center San Jose CA USA Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East Lansing MI USA
This paper addresses the issue of tracking tubular objects, particularly blood vessels from MR images. A model-based approach is adopted. The generalized stochastic tube (GST) model is developed which is an extension ... 详细信息
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Model-based automatic recognition of blood vessels from MR images and its 3D visualization
Model-based automatic recognition of blood vessels from MR i...
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IEEE International Conference on image processing
作者: Qian Huang G.C. Stockman IBM Research Division Almaden Research Center San Jose CA USA Pattern Recognition and Image Processing LaboratoryDepartment of Computer Science Michigan State University East Lansing MI USA
A model-based approach is used for recognizing arterial blood vessels from MRA volumetric data. The modeling includes (1) a generalized stochastic tube model characterizing the structural properties of the vessels, an... 详细信息
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Combining Feature Extraction and Hidden Markov Modelling for Automatic Speech recognition
Combining Feature Extraction and Hidden Markov Modelling for...
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International Conference on Communication Technology(ICCT’94)
作者: WU Jianxiong CHEN Peifang CHAN Chorkin DENG Li Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Department of Computer Science University of Hong Kong Dcpartment of Electrical and Computer Engineering University of WaterlooWaterlooOntarioCanada N2L 3G1.
<正>Feature extraction is very important for the classifier design and the overall performance of *** recognition ***,due to the lack of theoretical guidances,feature extraction and classifier design are usually tre...
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SHAPE NORMALIZATION THROUGH VISIBLE REGION CENTER AND INVISIBLE REGION CENTER
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pattern recognition LETTERS 1993年 第5期14卷 407-414页
作者: SUN, Y QI, FH Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200030 People's Republic of China
In this paper we present a new shape normalization method that is invariant to shape translation, rotation and scaling. We define a visible area density function and an unvisible area density function for a planar sha... 详细信息
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NEURAL-NETWORK APPROACH FOR CLASSIFICATION USING FEATURES EXTRACTED BY A MAPPING
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pattern recognition LETTERS 1993年 第10期14卷 749-752页
作者: SUN, Y Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200030 People's Republic of China
A neural network appraoch for classification using features extracted by a mapping is presented. When the number of sample dimensions is much larger than the number of classes and no deviations are given but the means... 详细信息
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AN ELIMINATING HIGHEST ERROR (EHE) CRITERION IN HOPFIELD NEURAL NETWORKS FOR BILEVEL image-RESTORATION
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pattern recognition LETTERS 1993年 第6期14卷 471-474页
作者: SUN, Y YU, SY Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200030 People's Republic of China
A new update criterion, which is called eliminating highest error (EHE) criterion, is presented in the paper. The Hopfield neural network taking the threshold function as the neuron's output function is essentiall... 详细信息
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Blind bilevel image restoration using hopfield neural networks
Blind bilevel image restoration using hopfield neural networ...
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IEEE International Conference on Neural Networks, ICNN 1993
作者: Liu, Hui-Juan Sun, Yi Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200030 China
In the paper we present a Hopfield neural network approach to blind bilevel image restoration. In the approach two kinds of Hopfield neural networks are used. One is the analog Hopfield neural network utilized to esti... 详细信息
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