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系统仿真学报 2004年第11期16卷 2541-2543,2551页

作者：刘宏建石繁槐刘允才罗毅 LUO-Yi 上海交通大学图像处理与模式识别研究所上海200030 Institute of Image Processing & Pattern Recognition Shanghai Jiao Tong University Shanghai 200030China

研究了一种新的机器人手眼标定的方法。在实际中,手-双目系统有着广泛的应用。传统方法主要集中在手-单目系统中。直接将传统方法应用到手-双目系统中将会很容易受到噪声的干扰。与传统方法相比,文章充分利用了双目摄像机之间以及摄像... 详细信息

研究了一种新的机器人手眼标定的方法。在实际中,手-双目系统有着广泛的应用。传统方法主要集中在手-单目系统中。直接将传统方法应用到手-双目系统中将会很容易受到噪声的干扰。与传统方法相比,文章充分利用了双目摄像机之间以及摄像机与机器人手爪之间的约束关系进行机器人手眼标定,大大提高了抗干扰的能力。最后仿真结果证明了新方法的精确性与有效性。

关键词：手—眼标定机器人双目摄像机噪声敏感性

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A matrix-oriented method for appearance-based data compression - An idea from group representation theory

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 3338卷 400-404页

作者： Zhao, Deli Liu, Chongqing Zhang, Yuehui Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200030 China Department of Mathematics Shanghai Jiao Tong University Shanghai 200030 China

Motivated by ideas of group representation theory, we propose a matrix-oriented method to dimension reduction for image data. By virtue of the action of Stiefel manifold, the original image representations can be directly contracted into a rather low-dimensional space. Experimental results show that the performance of PCA and LDA is significantly enhanced in the transformed space. In addition, the reconstructed images by proposed algorithm are better than those by 2DPCA. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Matrix algebra

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image denoising using wavelet and support vector regression

Image denoising using wavelet and support vector regression

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International Conference on image and Graphics (ICIG)

作者： Hui Cheng Qiuze Yu Jinwen Tian Jian Liu Institute for Pattern Recognition and Aritificial Intelligence Key Laboratory of Education Ministry for Image Processing & Intelligence Control Huazhong University of Science and Technology Wuhan China

Wavelet image denoising has been well acknowledged as an important method of denoising in image processing. This paper describers a new method for the suppression of noise in image by fusing the wavelet denoising technique with support vector regression (SVR). Based on the least squares support vector machine (LS-SVM), a new denoising operators used in the wavelet domain are obtained. Simulated noise images are used to evaluate the denoising performance of the proposed algorithm along with the other wavelet-based denoising algorithm. Experimental results show that the proposed denoising method outperforms standard wavelet denoising techniques in terms of the signal-to-noise ratio and the prevented edge information in most cases. It also achieves better performance than the median filter.

关键词： image denoising Noise reduction Support vector machines Wavelet domain Wavelet transforms Wavelet analysis Support vector machine classification Wavelet coefficients Artificial intelligence image processing

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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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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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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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