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Spectrum-blind minimum-rate sampling and reconstruction of 2-D multiband signals

Spectrum-blind minimum-rate sampling and reconstruction of 2...

引用

IEEE International conference on image Processing

作者： Y. Bresler Ping Feng Dept. of Electr. & Comput. Eng. Illinois Univ. Urbana IL USA Coordinated Science Laboratory Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana IL USA

We consider 2-D multiband signals, with a given bound on their spectral occupancy (the occupied fraction of the area of a bounding box of the spectral support). We propose a universal sampling pattern that guarantees well-conditioned reconstruction of all such signals. Such a universal sampling pattern can asymptotically achieve the Nyquist-Landau (1967) minimal sampling rate, determined by the spectral occupancy. Compared to 'Nyquist' patterns that avoid aliasing, for sparse spectral supports our design offers considerable reduction in sampling rate. Furthermore, we propose algorithms allowing reconstruction to be done blindly-without prior knowledge of the spectral support, other than its bounding box. The results apply to both continuous and discrete-time signals, and directly generalize to M-D. This work extends our analogous results for the 1D case.

关键词： Sampling methods Signal design Filter bank Reconstruction algorithms Algorithm design and analysis Noise robustness Quantization Design methodology pattern recognition Signal reconstruction

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Adaptive directional image compression with oriented wavelets

Adaptive directional image compression with oriented wavelet...

引用

IEEE International conference on image Processing

作者： F.G. Meyer R.R. Coifman Department of Mathematics Yale University New Heaven CT USA

We construct a new adaptive basis that provides precise frequency localization and good spatial localization. We develop a compression algorithm that exploits this basis to obtain the most economical representation of an image in terms of textured patterns with different orientations, frequencies, sizes, and positions. The technique directly works in the Fourier domain and has potential applications for compression of richly textured images.

关键词： image coding Frequency image texture analysis Wavelet packets image edge detection Signal analysis Mathematics Compression algorithms image analysis pattern analysis

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Development of motion analysis system for quantitative evaluation of teamwork in soccer games

Development of motion analysis system for quantitative evalu...

引用

IEEE International conference on image Processing

作者： T. Taki J. Hasegawa T. Fukumura School of Computer and Cognitive Sciences Chukyo University Toyota Aichi Japan

We present a motion analysis system of soccer games. The purpose of this system is to evaluate the teamwork quantitatively based on the movement of all the players in a game. Space management and cooperative movement by the players are two major factors for teamwork evaluation. To quantify them from motion images, we propose two new features; "minimum moving time pattern" and "dominant region". From experiments using actual game scenes, it is suggested that the proposed system can be a new tool for supporting to evaluate the teamwork.

关键词： Motion analysis Teamwork Cameras Games Layout Collaborative work image motion analysis Humans Visualization Animation

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Subband VPIC with classified joint vector quantization

Subband VPIC with classified joint vector quantization

引用

IEEE International conference on image Processing

作者： K.W. Chan K.L. Chan Dept. of Electron. Eng. City Univ. of Hong Kong Kowloon Hong Kong

Subband coding (SBC) was combined with visual pattern image coding (VPIC) to eliminate the blockiness and reduce the jagged edge artifact. A new set of 2/spl times/2 patterns was designed to code the highly compacted subband signals. The MSEs are significantly reduced by coding only the lowest frequency band. By making use of the inter-band correlation among various subband signals, a classified joint vector quantization (CJVQ) scheme was derived for coding the high frequency and residue subbands, using the pattern index in the low frequency band (LFB) as the classifier. The PSNR is further enhanced by up to 1.7 dB with less than a 8% decrease in the compression ratio.

关键词： Vector quantization Frequency Filters Decoding image coding Signal synthesis Signal analysis Distortion measurement Arithmetic Hardware

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X-ray analysis of lake sedimentary patterns using nonlinear regularization filter

X-ray analysis of lake sedimentary patterns using nonlinear ...

引用

IEEE International conference on image Processing

作者： Moon Gi Kang T.C. Johnson Department of Electrical and Computer Engineering University of Minnesota Duluth Duluth MN USA Large Lakes Observatory University of Minnesota Duluth Duluth MN USA

Laminated sediments from lakes are of great interest to paleoclimatologists interested in high resolution records of past climate change. Laminated sediments from Lake Malawi in East Africa are investigated by X-ray analysis. Due to the physical nature of sediments, X-ray images having penetrated through sediments are corrupted by signal dependent nonstationary noise, which affects the accuracy and precision of time-series and the spectral analysis of patterns. Therefore, a nonlinear pre-filtering algorithm is proposed to suppress the noise, so that more stable and reliable analysis can be obtained. The algorithm is based on the generalized weighted regularization.

关键词： pattern analysis Lakes X-ray imaging Sediments Spectral analysis Additive noise Filters image analysis Smoothing methods Mathematical model

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An automated chromosome aberration Scoring system

An automated chromosome aberration Scoring system

引用

1996 3rd International conference on Signal Processing(ICSP’96)

作者： He XaoHai Jiang Li Wu XiaoQiang Tao DeYuan Xu LiQun Li Hang Jin CuiZhen Luo YiSheng Zhang ZeYun Liu XiuLin Radio Department SiChuan University Beijin Institute of Radiation.Medicine

The statistical evaluation of structural chromosome aberration is a very important biological dosimetry *** this paper,an automated chromosome aberration scoring system is fully *** system can find meptaphases. recognise and score aberrant chromosome *** whole procedure of recognising and scoring aberrant chromosome includes preprocessing of digital image of *** seletion and extraction of features,and the construction of a hierarchical classifier *** in the end of this paper,the results of experiments are discussed.

关键词： chromosome aberration scoring image analysis pattern recognition

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Extracting halftones from printed documents using texture analysis

Extracting halftones from printed documents using texture an...

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IEEE International conference on image Processing

作者： D.F. Dunn T.P. Weldon W.E. Higgins Department of Computer Science and Engineering Pennsylvania State University University Park PA USA Department of Electrical Engineering University of North Carolina Charlotte Charlotte NC USA Department of Electrical Engineering Pennsylvania State University University Park PA USA

Separating halftones from text is an important step in document analysis. We present an algorithm that accurately extracts halftones from other information in printed documents. We treat halftone extraction as a texture-segmentation problem. We show that commonly used halftones, consisting of a pattern of dots, can be viewed as a texture. This texture exhibits a distinct spectral component that can be detected using a properly-tuned Gabor filter. The Gabor (1946) filter essentially transforms halftones into high-contrast regions that can be isolated by thresholding. We propose a filter-design procedure and provide experimental results.

关键词： Text analysis Gabor filters Frequency image analysis Baseband Signal analysis Data mining Gray-scale Band pass filters image segmentation

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Biometric identification by dermatoglyphics

Biometric identification by dermatoglyphics

引用

IEEE International conference on image Processing

作者： P.A. Recobos Rodriguez J.D. Landa Silva Division de Estudios de Posgrado e Investigacion Instituto Tecnologico de Chihuahua Mexico Instituto Tecnologico de Chihuahua Instituto Tecnologico de Chihuahua Chihuahua Mexico

Biometric identification (voice, face, iris, fingerprints, etc.) of individuals takes a lot of processing due to the complexity of these patterns. In this paper we present a study by computer vision of the palmar dermatoglyphics. It is shown that the extraction and interpretation of this kind of pattern is less complicated than the patterns previously studied-they allow a particular firm to be obtained for each individual which may be used for identification purposes or genetic studies. The procedure is composed of the following steps: image acquisition, edge detection, binary conversion, thinning operation, image reconstruction and image interpretation. Preliminary results show that this approach is a viable alternative for person identification.

关键词： Biometrics Histograms image reconstruction Pixel image analysis Probability image segmentation Nearest neighbor searches Euclidean distance

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A modified Hopfield neural network with fuzzy c-means technique for multispectral MR image segmentation

A modified Hopfield neural network with fuzzy c-means techni...

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IEEE International conference on image Processing

作者： Jzau-Sheng Lin Kuo-Sheng Cheng Chi-Wu Mao Dept. of Electr. Eng. Nat. Cheng Kung Univ. Tainan Taiwan Department of Electrical Engineering National Cheng Kung University Tainan Taiwan Institute of Biomedical Engineering National Cheng Kung University Tainan Taiwan

ISBN: (纸本)0780332598

Presents a modified Hopfield neural network with fuzzy c-means technique for segmenting multispectral MR brain images. The proposed approach is a novel unsupervised 2-D Hopfield neural network based upon the fuzzy clustering technique, and is suitable for parallel implementation in the application of medical image segmentation. The fuzzy c-means clustering strategy is included in the Hopfield neural network so as to eliminate the need of the weighting factors in the energy function which is formulated and based on a basic concept commonly used in pattern classification, called the "within-class scatter matrix" principle. From the experimental results, it is shown that a near optimal solution can be obtained using the proposed method.

关键词： Hopfield neural networks Fuzzy neural networks image segmentation Magnetic resonance imaging Brain Biomedical imaging Scattering Artificial neural networks image analysis Multispectral imaging

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Identification of Pelagic Eggs by image analysis

Identification of Pelagic Eggs by Image Analysis

引用

1996 3rd International conference on Signal Processing(ICSP’96)

作者： Qingmin LIAO Kacem CHEHDI Xinggang LIN Yujin ZHANG Image Grp. Dept.Electronic Eng.Tsinghua Univ.

In this paper,a pelagic egg identification system by image analysis is *** egg image is obtained using a camera coupled with a *** order to extract the meaningful structures of egg,the edge map of egg image is *** edge detection method consists of two steps:*** on four edge maps the potential edge positions corresponding to the local maxima of gradients in four directions;*** the true edge positions in accordance with the local facet orientation and aggregate them into an edge map with some spatial pattern of *** the most of these structures(except the embryo) have circular shapes,a circle detection method using the Hough transform is proposed,where the problem of circle overdetection in a possible site is *** embryo segmentation method is also *** on some criteria of identification defined on the parameters extracted from the structures detected,the pelagic eggs are then classified into the corresponding categories and the corresponding stages of *** experimental result is also presented in the paper.

关键词： image Identification of Pelagic Eggs by image analysis

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