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2009 Workshop on Applications of computer Vision, WACV 2009

作者： Kong, Qing-Jie Kumar, Avinash Ahuja, Narendra Liu, Yuncai Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 United States Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424454976

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. © 2009 IEEE.

关键词： Containers

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Curve reconstruction from a set of dense scattered points using A* algorithm

Curve reconstruction from a set of dense scattered points us...

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MIPPR 2009 - Automatic Target recognition and image Analysis: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Sun, Yangguang Zhou, Chengping Cai, Chao Ding, Mingyue Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies HUST Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China HUST Wuhan 430074 China

ISBN: (纸本)9780819478061

In this paper, a novel curve reconstruction method based on A* algorithm from a set of dense scattered points was proposed. Our method can not only reconstruct dense scattered points with single connected complicated form, but also solve the problem building the curve from the scattered points with close form and multiply connected form. Moreover, the influence of noise points on reconstructed curves is farther decreased, and the shape of dense scattered points will be well hold. Experimental results have demonstrated that the proposed method has the feasibility and robustness. © 2009 Copyright SPIE - The International Society for Optical engineering.

关键词： pattern recognition

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Kalman filtering based watermarking algorithm

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Journal of information and Computational Science 2009年第6期6卷 2193-2198页

作者： Zhang, Fan Ding, Aiping Shang, Dongfang Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China College of Computer and Information Engineering Henan University Kaifeng 475001 China Department of Information Engineering Yellow River Conservancy Technical Institute Kaifeng 475001 China

A digital watermark algorithm based on Kalman filter and image fusion is proposed. Digital watermarking is considered as a process of image fusion. Watermark image and original image are unified in a new state equation, and then the corresponding measurement equation is built. Digital watermark is embedded into original image according to the optimal estimation in the case of minimum estimation error variance. Experimental results show that the proposed algorithm has a good robustness and invisibility. © 2009 Binary information Press.

关键词： Kalman filters

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Medical ultrasound image segmentation Based on improved watershed scheme

Medical ultrasound image segmentation Based on improved wate...

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The 3rd International Conference on Bioinformatics and Biomedical engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

作者： Wenjie Mao Liang Li Yingxia Fu Peirui Bai Shandong University of Science and technology Institute of Image Processing and Pattern Recognition Shandong University of Science and Technology College of Resource and Environment Engineering Qingda Shandong University of Science and technology Institute of Image Processing and Pattern Recognition

with the characteristics of precision edge and closed contour, watershed segmentation algorithm is used widely in image segmentation. However, over-segmentation always occurs when it is applied to ultrasound images associated with speckle noise. In this paper, an improved watershed segmentation scheme is proposed based on comprehensive consideration of gray scale information, edge information and the relationship between neighboring regions of ultrasound images. A novel criteria deciding the relationship between neighboring regions was defined, and edge information was also added to the merging guidelines. Similar region merging was then applied to the initial segmentation results. The proposed scheme was tested using representative ultrasound image. The experimental results show that the proposed scheme can produce accurate contours and overcome the over-segmentation phenomenon availably.

关键词： Watershed algorithm Medical ultrasound image Similar region merging Gray information Edge information Relationship between neighboring regions

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A non-continuous wavelength scanning strategy for electrically tunable liquid-crystal hyperspectral imaging array

A non-continuous wavelength scanning strategy for electrical...

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MIPPR 2009 - Multispectral image Acquisition and processing: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Liu, Kan Li, Dehua Zhang, Xinyu Li, Hui Wu, Li Zhang, Tianxu Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multispectral Information Processing Technology Huazhong University of Science and Technology Wuhan 430074 Hubei China College of Technology and Engineering Yangtze University Jingzhou 434020 Hubei China

ISBN: (纸本)9780819478054

Traditional mechanically tunable imaging spectrometry, including those based on MEMS technology, can only obtain continuous spectral image data in a fixed spectral order, which was restricted by the moving mechanism of the mechanical device. But spectrum absorption peakof materials is not continuous, especially in hyperspectral scale. To overcome such shortages, a smart spectral imaging detection method based on the integration of electrically tunable liquid-crystal (LC) Fabry-Perot (FP) microstructure array and a non-continuous wavelength choosing strategy to operation the device are proposed. With a tunable LC-FP array composed by many working units arranging in two dimensions, the device can image in hundreds of spectral bands simultaneity within milliseconds in a calibrated system, and making correct detection for certain objects in one shot. © 2009 Copyright SPIE - The International Society for Optical engineering.

关键词： Absorption spectroscopy

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Fast on-ship route planning using improved sparse A-star algorithm for UAVs

Fast on-ship route planning using improved sparse A-star alg...

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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： Yang, Xin Ding, Mingyue Zhou, Chengping Cai, Chao Yu, Qi Shao, Shuai Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478085

This paper presented improved Sparse A-Star Search (SAS) algorithm to pursue a fast route planner for Unmanned Aerial Vehicles (UAVs) on-ship applications. Our approach can quickly produce 3-D trajectories composed by a set of successive navigation points from certain known initial locations to predetermined target locations. The result routes are not only ensuring collision avoidance with the environmental obstacles, but also satisfying specific routes constraints and objectives. The experiment results demonstrated the feasibility of the method, which makes our route planner be more useful in real systems. © 2009 Copyright SPIE - The International Society for Optical engineering.

关键词： Ships

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Path planning for UAV based on quantum-behaved particle swarm optimization

Path planning for UAV based on quantum-behaved particle swar...

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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： Fu, Yangguang Ding, Mingyue Zhou, Chengping Cai, Chao Sun, Yangguang Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478085

Based on quantum-behaved particle swarm optimization (QPSO), a novel path planner for unmanned aerial vehicle (UAV) is employed to generate a safe and flyable path. The standard particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) are presented and compared through a UAV path planning application. Every particle in swarm represents a potential path in search space. For the purpose of pruning the search space, constraints are incorporated into the pre-specified cost function, which is used to evaluate whether a particle is good or not. As the system iterated, each particle is pulled toward its local attractor, which is located between the personal best position (pbest) and the global best position (gbest) based on the interaction of particles' individual searches and group's public search. For the sake of simplicity, we only consider planning the projection of path on the plane and assume threats are static instead of moving. Simulation results demonstrated the effectiveness and feasibility of the proposed approach. © 2009 Copyright SPIE - The International Society for Optical engineering.

关键词： Motion planning

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Skeleton-based fast path planning for UAV

Skeleton-based fast path planning for UAV

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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

作者： Liu, Xin Zhou, Chengping 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 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)9780819478092

A new path planning method for UAV in static workspace is presented. The method can find a nearly optimal path in short time which satisfies the UAV kinematic constraints. The method makes use of the skeletons to construct the graph of the planning space considering the configuration of the obstacles and utilizes the graph to find a shortest collision-free path, and a novel technique is utilized to convert the free path into a feasible path. The method can be applied to different applications and easy to be implemented. Experimental results showed that the path planning can be done in a fraction of second on a contemporary workstation (2-3 seconds) under the condition of satisfying the kinematic constraints. © 2009 Copyright SPIE - The International Society for Optical engineering.

关键词： Motion planning

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Design and implementation of knowledge-based framework for ground objects recognition in remote sensing images

Design and implementation of knowledge-based framework for g...

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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

作者： Chen, Shaobin Ding, Mingyue Cai, Chao Fu, Xiaowei Sun, Yue Chen, Duo Institute for Pattern Recognition and Artificial Intelligence of HUST Wuhan 430074 China College of Life Science and Technology HUST Wuhan 430074 China College of Software Engineering HUST Wuhan 430074 China National Lab. for Multi-spectral Information Processing Technologies Wuhan 430074 China

ISBN: (纸本)9780819478092

The advance of image processing makes knowledge-based automatic image interpretation much more realistic than ever. In the domain of remote sensing image processing, the introduction of knowledge enhances the confidence of recognition of typical ground objects. There are mainly two approaches to employ knowledge: the first one is scattering knowledge in concrete program and relevant knowledge of ground objects are fixed by programming;the second is systematically storing knowledge in knowledge base to offer a unified instruction for each object recognition procedure. In this paper, a knowledge-based framework for ground objects recognition in remote sensing image is proposed. This framework takes the second means for using knowledge with a hierarchical architecture. The recognition of typical airport demonstrated the feasibility of the proposed framework. © 2009 Copyright SPIE - The International Society for Optical engineering.

关键词： Knowledge based systems

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A novel path planning method based on path network

A novel path planning method based on path network

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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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