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MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Li, Shidong Ding, Mingyue Cai, Chao Institute for Pattern Recognition and Artificial Intelligence National Lab. for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China Hubei University for Nationalities Enshi Hubei 445000 China College of Life Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478085

Traditional path planning methods are too slow to meet the real-time requirement in practical applications. In order to solve this problem, an idea of path net was proposed in this paper. The path planning procedure is divided into two steps: network segment planning and segment assembling. The first step was done with Fast Marching Method, including port selection of segment and network segment planning. Second step, the A* searching method was chosen to select segments for assembling. Experiments demonstrated that our method can obtain an optimal route in a few of seconds after the start and goal are given while several minutes are needed for traditional methods. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

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Path planning using FMM with direction and curvature constrained

Path planning using FMM with direction and curvature constra...

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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on Multispectral image processing and pattern recognition

ISBN: (纸本)9780819478092

It is difficult to meet both direction and curvature constraints for traditional Fast Marching (FM) method in path planning. Based on adjusting the cost function in Eiknoal equation-the control equation for FM, a new model for computing the integrated cost function was presented in this paper. A relationship formula about curvature radius was obtained and three kinds of adjusting strategies were given;two of them were used to modify the route to meet with the requires of turning constraint in this paper. Experiments showed that the improved model can be used to plan the path with FMM for agent such as unmanned aerial vehicle (UAV) or robot, which is limited to pass through the scene matching areas. And our preliminary experiments demonstrated that the strategies are feasible and efficient to obtain path with certain curvature radius. The model can also be used to represent the problem such as an aircraft flying in a flow field. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

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Scatter correction algorithm without extra exposure for dual-energy digital mammography

Scatter correction algorithm without extra exposure for dual...

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Medical Imaging 2009: Physics of Medical Imaging

作者： Xi, Chen Xuanqin, Mou Hao, Yan Hengyong, Yu Lei, Zhang Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an Shaanxi 710049 China Biomedical Imaging Division School of Biomedical Engineering and Science Virginia Tech. Blacksburg VA 240601 United States Department of Computing Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Hong Kong

ISBN: (纸本)9780819475091

X-ray scatter leads to erroneous calculations of dual-energy digital mammography (DEDM). The existing methods for scatter correction in DEDM are using anti-scatter grids or the pinhole-array interpolation method which is complicated and impractical. In this paper, a scatter correction algorithm for DEDM is developed based on the knowledge that scatter radiation in mammograms varies slowly and most pixels in mammograms are non-microcalcification pixels. The proposed algorithm only uses the information of low-energy (LE) and high-energy (HE) images. And it doesn't need anti-scatter grids, lead sheet and extra exposures. Our results show that the proposed scatter correction algorithm is effective. When using the simple least-squares fit and linear interpolation, the scatter to primary ratio (SPR) can be decreased from ~33.4% to ~2.8% for LE image and from ~26.2% to ~0.8% for HE image. Applying scatter correction to LE and HE images, the resultant background signal in the DE (dual-energy) calcification image an be reduced significantly. ©2009 SPIE.

关键词： Pixels

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Study on 3D Reconstruction of Medical image and Orthographic Views

Study on 3D Reconstruction of Medical Image and Orthographic...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Ch. H. Wang Wenbin Zhang Yuncai Liu Guofang Shen Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Department of Oral and Maxillofacial Surgery Ninth People's Hospital Shanghai China

ISBN: (纸本)9781424441327

3D reconstruction of medical image and orthographic views provide useful information for doctors. In this paper, firstly, reconstruction of medical image based on MC (Marching cubes) algorithm is implemented using Microsoft Visual C ++ and the VTK (Visualization ToolKit). Secondly, to solve the problems of huge quantities of triangle meshes and stepping effects, optimizations such as mesh simplification and mesh smoothing are presented. Finally, the method to obtain the orientation of the resliced imaging planes is presented and the orthographic views are obtained based on it. The experimental results show that optimal methods are effective and the method to get the orientation of the resliced imaging planes is practical.

关键词： image reconstruction Biomedical imaging Medical diagnostic imaging Isosurfaces Magnetic resonance imaging image processing Surgery Surface reconstruction pattern recognition Hospitals

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Analysis of appearance features for human matching between different fields of view

Analysis of appearance features for human matching between d...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Xiaowei Lv Qing-Jie Kong Fei Weng Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Beckman Institute Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana IL USA

Human matching between different fields of view is a difficult problem in intelligent video surveillance; whereas fusing multiple features has become a strong tool to solve it. In order to guide the fusion scheme, it is necessary to evaluate the matching performance of these features. In this paper, four typical features are chosen for the evaluation. They are the color histogram, UV chromaticity, major color spectrum histogram, and scale-invariant features (SIFT). Quantities of video data are collected to test their general accuracy, robustness, and real-time applicability. The robustness is measured under the conditions of illumination changes, Gaussian and salt noises,foreground errors, resolution changes, and camera angle differences. The experimental results show that the four features bear distinctive performances under the different conditions, which will provide important references for the feature fusion methods.

关键词： Humans Colored noise Histograms Noise robustness Video surveillance Testing Noise measurement Lighting Gaussian noise Cameras

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Robust segmentation of freight containers in train monitoring videos

Robust segmentation of freight containers in train monitorin...

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IEEE Workshop on Applications of Computer Vision (WACV)

作者： Qing-Jie Kong Avinash Kumar Narendra Ahuja Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana IL USA

This paper is about a vision-based system that automatically monitors intermodal freight trains for the quality of how the loads (containers) are placed along the train. An accurate and robust algorithm to segment the foreground of containers in videos of the moving train is indispensable for this purpose. Given a video of a moving train consisting of containers of different types, this paper presents a method exploiting the information in both frequency and spatial domains to segment these containers. This method can accurately segment all types of containers under a variety of background conditions, e.g illumination variations and moving clouds, in the train videos shot by a fixed camera. The accuracy and robustness of the proposed method are substantiated through a large number of experiments on real data of train videos.

关键词： Robustness Freight containers Monitoring Videos image segmentation Rails Loading Clouds Cameras Lighting

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Improved algorithm for multiple infrared targets tracking

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2009年第3期43卷 437-442页

作者： Yang, Jin Yang, Jie Wang, Fang-Lin Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

Based on the mean field Monte Carlo (MFMC) algorithm, an improved one for multiple infrared targets tracking on basis of particle filter was proposed. In this new algorithm, Mean-Shift is integrated in the sampling of particles in MFMC, so before the weighting of particles, Mean-Shift will move them to the place where reaches maximum similarity and then the effectiveness of particles is greatly improved. This algorithm also revises the mechanism for message assessment in MFMC with the consideration of the sizes of targets, and it improves the self-adaptability of the mechanism. The experimental results show that this new algorithm is more robust, accurate and efficient than MFMC. It can effectively solve the issue of multiple infrared targets tracking.

关键词： Monte Carlo methods

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High-Precision Discrete Convolution Algorithm Based on Moments

High-Precision Discrete Convolution Algorithm Based on Momen...

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WRI International Conference on Communications and Mobile Computing, CMC

作者： Jianguo Liu Zhenbing Liu Guoyou Wang Key Laboratory of Education Ministry for Image Processing and Intelligent Control State Key Laboratory of Multispectral Information Processing Technologies Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

Convolution is an important and useful operation in the fields of digital signal processing. In this paper, based on the previous work of performing discrete Fourier transform (DFT) via linear sums of discrete moments, we have made development to eliminate multiplications in discrete Fourier transforms by performing appropriate bit operations and shift operations in binary system, which can be implemented by integer additions of fixed points; then using the convolution theorem with the DFT, we compute the convolution with two DFTs, a point-by-point product, and an inverse DFT. Our algorithm involves fewer multiplications and can deal with arbitrary length signals.

关键词： Convolution Signal processing algorithms Discrete Fourier transforms Very large scale integration Algorithm design and analysis Laboratories Educational technology Digital signal processing Mobile communication Mobile computing

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High-Precision and Arbitrary-length Fixed-Point Fast Hartley Transform without Multiplications

High-Precision and Arbitrary-length Fixed-Point Fast Hartley...

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WRI International Conference on Communications and Mobile Computing, CMC

作者： Zhenbing Liu Jianguo Liu Guoyou Wang Key Laboratory of Education Ministry for Image Processing and Intelligent Control State Key Laboratory of Multispectral Information Processing Technologies Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

Discrete Hartley transform (DHT) is an important tool in digital signal processing. In this paper, based on our previous work of performing DHT via linear sums of discrete moments, we have made development to eliminate multiplications in discrete Hartley transforms by performing appropriate bit operations and shift in binary system, which can be implemented by integer additions of fixed points. An efficient and regular systolic array is designed to implement it, and the complexity analysis is also given. Different to other fast Hartley transforms, our algorithm can deal with arbitrary length signals and get high precision. The approach is also applicable to multi-dimensional DHT and DHT inverses.

关键词： Discrete transforms Signal processing algorithms Digital signal processing Systolic arrays Laboratories Educational technology Very large scale integration Hardware Mobile communication Mobile computing

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Three dimensional palmprint recognition

Three dimensional palmprint recognition

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IEEE International Conference on Systems, Man and Cybernetics

作者： Wei Li Lei Zhang David Zhang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Biometrics Research Center Department of Computing Hong Kong Polytechnic University Hong Kong China

Palmprint has been widely studied as its high accuracy and low cost. Most of the previous studies are based on two dimensional (2D) image of the palmprint. However, 2D image can be easily forged, which will threaten the security of palmprint authentication system. Furthermore, 2D image can be easily affected by noise, such as scrabbling and dirty in the palm. To overcome these shortcomings, we develop a three dimensional (3D) palmprint identification system. The structured-light imaging technology is adopted to collect the 3D palmprint data, from which the stable mean curvature image (MCI) is extracted. Then the competitive coding (CompCode) technique is used to code the 3D palmprint pattern according the MCI. By using score level fusion of MCI and its CompCode, promising recognition performance is achieved on our established 3D palmprint database.

关键词： Biometrics Authentication pattern recognition image recognition Data acquisition Time measurement Surface reconstruction image reconstruction Costs Data security

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