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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3338卷 506-515页

作者： Zhang, Yongliang Yang, Jie Wu, Hongtao Xue, Yunfeng Inst. of Image Processing and Pattern Recognition Shanghai JiaoTong Univ. 200030 Shanghai China School of Computer Science and Software Hebei University of Technology 300130 Tianjin China

Thermal swipe sensor is one of the technologies behind many of today's fingerprint sensors. This paper presents a new direct Fourier-based algorithm for performing swipe fingerprints registration to subpixel accuracy, where the fingerprint image differences are restricted to translations and uniform changes of illumination. The method is based on the extension of the well-known phase correlation technique and is able to estimate large translations of swipe fingerprints with pixel and subpixel accuracy. Excellent experimental results have been obtained for pixel and subpixel translation estimation of swipe fingerprints. And experimental data show that the algorithm has less time consumption and more robustness against noise and superior registration precision. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Pixels

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Uncertainty in spatial data mining

Uncertainty in spatial data mining

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Bin-Bin He Tao Fang Da-Zhi Guo Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China School of Environment & Spatial Informatics China University of Mining and Technology Xuzhou China

ISBN: (纸本)0780384032

Spatial data mining refers to extracting and "mining" the hidden, implicit, valid, novel and interesting spatial or non-spatial patterns or rules from large-amount, incomplete, noisy, fuzzy, random, and practical spatial databases. In which an important issue but remains underdeveloped is to reveal and handle the uncertainties in spatial data mining. In This work, uncertainty of spatial data is briefly analyzed firstly, including the types and origins of uncertainty, their models of measurement and propagation. Then, some uncertainty factors in operation of spatial data mining are discussed and some uncertainty handling methods are adopted, including maximum variance data discretization and fuzzy belief function. Finally, we think the process of spatial data mining can be regarded as a complex system, a linear serial processing system in engineering control systems. An uncertainty propagation model of spatial data mining - fuzzy logic uncertainty propagation model with credibility factor is developed. Moreover, several key problems about uncertainty handling and propagation in spatial data mining are put forward.

关键词： Uncertainty Data mining Spatial databases Helium Informatics image processing pattern recognition Electronic mail Data analysis Fuzzy neural networks

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An SVM-based small target segmentation and clustering approach

An SVM-based small target segmentation and clustering approa...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Sheng Zheng Jian Liu Jin-Wen Tian State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)0780384032

Segmentation and clustering of infrared small target images in a sky or sea-sky background is considered in this paper, which is the preprocessing part of the detection and recognition of the moving small targets in an infrared image sequence. The infrared image intensity surface is well fitted by the least squares support vector machines (LS-SVM), and then the maximum extremum points are detected on the well fitted intensity surface by convolving the image with the second order directional derivative operators deduced from the mapped LS-SVM with mixtures of kernels. With the coarse locations, the possible targets are extracted by the clustering analysis. The computer experiments are carried out for the real and simulated sky and sea-sky infrared images. The experimental results demonstrate the proposed approach is effective.

关键词： Infrared detectors Infrared imaging image segmentation Sea surface image recognition Target recognition image sequences Least squares methods Support vector machines Kernel

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3D displacement fields estimation of three-dimensional cardiac echocardiographic images based on elliptic partial differential equation

3D displacement fields estimation of three-dimensional cardi...

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International Conference on Signal processing Proceedings (ICSP)

作者： Guo Qiang Yang Xin Yao Liping Sun Kun Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University China Children's Medical Center Xinhua Hospital Shanghai Second Medical University China

Three-dimensional echocardiography is a promising technique for quantitative analysis of heart functions because it can visualize the complex structure of the hearts intuitively. Within this new technical how to describe the motion of some part of the heart quantitatively is meaningful. This paper proposes a method of 3D motion estimation based on elliptic partial differential equation. It detects the displacement fields instead of the optical flow fields, which needs calibrated for. First a new quadratic error functional is proposed in this paper; then, it leads to a set of elliptic partial differential equations by variation calculus. Using finite difference method, this algorithm is possible to evaluation the motion of mitral valve.

关键词： Partial differential equations Heart Valves Blood image motion analysis Sun Hospitals Medical treatment Echocardiography Differential equations

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One efficient facet-based small target detection technique

One efficient facet-based small target detection technique

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International Conference on Signal processing Proceedings (ICSP)

作者： Sheng Zheng ChengYi Xiong JinWen Tian Jian Liu State Education Commission Key Laboratory of Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

This paper presents a method for the detection of small objects from the infrared images. The detection is performed on the intensity surface well fitted by the cubic facet model. The small target energy distribution presents as a convex surface on the image intensity surface and the target center is the maximal extremum points of the convex surface. According to the extremum theory, the possible small target position is analytically determined by directly convolving the original image with the derivative operators deduced from the bivariate cubic function. With the available coarse target locations, the potential target is separated from the background by examining the intensity features of the target cluster. Experimental results on the sample infrared images demonstrate the proposed algorithm provides a robust and efficient performance.

关键词： Face detection Object detection Target tracking Infrared detectors Surface topography Infrared imaging Maintenance Intelligent control pattern recognition Artificial intelligence

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Improved genetic algorithms for optimal design of drainage systems

Improved genetic algorithms for optimal design of drainage s...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Wen-xiang Peng Rong Jia Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China Institute of Water Resources and Hydro-electric Engineering Xi''an University of Technology Xi'an China

ISBN: (纸本)0780386531

The optimization of existing sewer systems or making new systems is and will remain one of the key issues in drainage management in our society. The problem consists of minimization of a nonlinear cost function subjected to nonlinear constraints. To overcome the difficulties of the optimization of drainage systems, in this paper, an elitist adaptive genetic algorithm (EAGA) for pipe optimization has been developed, by integrating elitist genetic algorithm (EGA) with adaptive genetic algorithm (AGA). We compare the performance of the EAGA with that of EGA and AGA in optimizing sewer systems. The EAGA converges to the global optimum in far fewer generations than the EGA and AGA. We believe that the EAGA is the first step in realizing a class of self-organizing genetic algorithms (GAs) capable of adapting themselves in locating the global optimum in drainage systems.

关键词： Genetic algorithms Algorithm design and analysis Cost function Dynamic programming Linear programming Design optimization image processing pattern recognition Water resources Resource management

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Multiscale centerline extraction of angiogram vessels using gabor filters

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3314卷 570-575页

作者： Sang, Nong Tang, Qiling Liu, Xiaoxiao Weng, Wenjie Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

In this paper, we propose a new automated approach to extract the centerlines from 2-D angiography. The centerline extraction is the basis of 3-D reconstruction of the blood vessels, so the accurate localization of centerlines counts for much. The characteristics of multiscale Gabor even filter, flexible frequency bands and enhancement effects, are fully utilized to detect centerlines of the blood vessels in various size. © Springer-Verlag 2004.

关键词： Blood vessels

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A novel video object tracking approach using bidirectional projection

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Chinese Optics Letters 2004年第7期2卷 390-392页

作者：刘志杨杰 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030his paper proposes a novel video object tracking approach using birdirectional projection. Forward projection is exploited to locate the current video object with rough boundary information. Watershed segmentation is applied to the simplified gradient image of the current frame to obtain a reasonable partition. An improved backward projection which incorporates pixel classification with region classification is performed on some segmented regions in a rather small search range and the tracking performance is enhanced in respect to both reliability and efficiency. Experimental results for various types of the MPEG-4 (moving picture experts group) test sequences demonstrate an efficient and faithful segmentation performance of the proposed approach.

This paper proposes a novel video object tracking approach using birdirectional projection. Forward projection is exploited to locate the current video object with rough boundary information. Watershed segmentation is applied to the simplified gradient image of the current frame to obtain a reasonable partition. An improved backward projection, which incorporates pixel classification with region classification, is performed on some segmented regions in a rather small search range, and the tracking performance is enhanced in respect to both reliability and efficiency. Experimental results for various types of the MPEG-4 (moving picture experts group) test sequences demonstrate an efficient and faithful segmentation performance of the proposed approach.

关键词： Segmentation Video

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FVC2004: Third fingerprint verification competition 1

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1st International Conference on Biometric Authentication, ICBA 2004

作者： Maio, Dario Maltoni, Davide Cappelli, Raffaele Wayman, Jim L. Jain, Anil K. Biometric System Lab - DEIS University of Bologna via Sacchi 3 Cesena47023 Italy Biometric Test Center College of Engineering San Jose State University San JoseCA95192 United States Pattern Recognition and Image Processing Laboratory Michigan State University East LansingMI48824 United States

ISBN: (数字)9783540259480

ISBN: (纸本)3540221468

A new technology evaluation of fingerprint verification algorithms has been organized following the approach of the previous FVC2000 and FVC2002 evaluations, with the aim of tracking the quickly evolving state-ofthe- art of fingerprint recognition systems. Three sensors have been used for data collection, including a solid state sweeping sensor, and two optical sensors of different characteristics. The competition included a new category dedicated to "light" systems, characterized by limited computational and storage resources. This paper summarizes the main activities of the FVC2004 organization and provides a first overview of the evaluation. Results will be further elaborated and officially presented at the International Conference on Biometric Authentication (Hong Kong) on July 2004. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Digital storage

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An efficient algorithm and implementation for residue to binary number conversion

An efficient algorithm and implementation for residue to bin...

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International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Chengyi Xiong Zhirong Gao Jinwen Tian Key Laboratory of Education Commission for Image Processing and Intelligent Control Institute of Pattern Recognition & Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Wuhan University of Science & Engineering Wuhan China Key Laboratory of Education Commission for Image Processing Huazhong University of Science & Technology China

The residue number system (RNS) has computational advantages in addition and multiplication compared with weighted number systems, such as the binary number system (BNS), since operations on residue digits are performed independently and these processes can be performed in parallel. Thus they are widely used in digital signal processing etc. Since residue to binary conversion is critical and difficult for the practicality of RNS, in this paper, a novel residue to binary (R/B) conversion algorithm for the restricted moduli set (2/sup n/ -1, 2/sup n/, 2n+1), based on exploring the periodicity of modulo (2/sup n/ /spl plusmn/ 1) operations is presented. A new 2n-bit adder based R/B converter is also proposed. The performance comparison results demonstrate that the new converter is faster and requires less area compared with the others reported in the previous literature.

关键词： Signal processing algorithms image converters Educational institutions Computer science Concurrent computing Digital signal processing Arithmetic Laboratories image processing Intelligent control

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