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Analysis of matching algorithm for infrared images based on anisotropic diffusion equation

Analysis of matching algorithm for infrared images based on ...

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

作者： Yan, Ruicheng Cao, Zhiguo Li, Yukun State Key Lab. of Multi-spectral Information Processing Technology Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 Hubei China

ISBN: (纸本)9780819478061

We present an algorithm for infrared target recognition based on edge features, aiming to improve the performance of recognition within low contrast and low SNR infrared images. The main process including: using nonlinear anisotropic diffusion equation to smooth noise as preprocessing after enhancing the image contrast through equalizing the image gray-level histogram, so as to filter out noise as well as maintain edge and shape features;then considering the greater differences between the target template and the fragmentary edges extracted directly from infrared images, Otsu threshold segmentation algorithm is selected to extracted the region feature before we use Canny operator to extract target edge features;finally, we match the target edge template with infrared images to recognize the target, using Hausdorff distance as a matching measure. Through experiment on several infrared image sequences, the results show that comparing with other preprocessing algorithms, our method achieve better performance for target recognition. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Nonlinear equations

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Scene-adaptive detection and tracking of small target with moving imaging platform

Scene-adaptive detection and tracking of small target with m...

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

作者： Luo, Jiao Wang, Yuehuan Yao, Wei Zhang, Tian-Xu Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China State Key Lab. of Multi-spectral Information Processing Technology Wuhan 430074 China

ISBN: (纸本)9780819478061

At present, the detection and tracking of small target is developing rapidly and being widely used. In this paper, we proposed a real-time scene adaptive method for infrared small target detection and tracking in sea/sky background, while the imaging platform is moving at high speed. We use combination of scene recognition and the scene optimized target detection and tracking to realize scene adaptation. In this algorithm, we recognize the scene at first. By detecting the straight line through the image we can identify whether there exists a sea-sky line and recognize reflection of sunlight by detecting obvious texture at the same time. The results show that this algorithm can recognize the scene and realize the scene adaptive detection and tracking. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Target tracking

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Feature validity analysis based on target recognition of remote sensing image

Feature validity analysis based on target recognition of rem...

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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： Yao, Wei Wang, Yuehuan Wang, Hai Sang, Nong Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China State Key Lab. of Multi-spectral Information Processing Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

A method of feature validity analysis is proposed in this research. More than 100 kinds of features which are commonly used in the remote sensing image analysis have been selected. In this process, we choose level set and Otsu segmentation methods to extract the target and use manually segmented target images as templates, based on the method, we can make a evaluation of these features validity especially the stability in multi-resolution. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： image analysis

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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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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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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 multiple model structure for tracking by variable rate particle filters

A multiple model structure for tracking by variable rate par...

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作者： Ulker, Yener Gunsel, Bilge Kirbiz, Serap Multimedia Signal Processing and Pattern Recognition Lab. Istanbul Technical University Dep. of Electronics and Communications Engineering 34469 Maslak Istanbul Turkey

ISBN: (纸本)9781424421756

In contrast to the fixed rate modeling of the conventional methods, recently introduced variable rate particle filters (VRPF) achieves to track maneuvering objects with a small number of states by imposing a probability distribution on state arrival times. Although this enables VRPF an appealing method, representing the target motion dynamics with a single model hinders the capability of estimating maneuver parameters precisely. To overcome this weakness we have incorporated multiple model approach with the variable rate model structure. The introduced model referred as Multiple Model Variable Rate Particle Filter (MM-VRPF) utilizes a parsimonious representation for smooth regions of trajectory while it adaptively locates frequent state points at high maneuver regions, resulting in a much more accurate tracking. Simulation results obtained in a bearings-only target tracking problem show that the proposed model outperforms the conventional VRPF, the fixed rate multiple model particle filters (MMPF) and interacting multiple model using extended Kalman filters (IMM-EKF). © 2008 IEEE.

关键词： Extended Kalman filters

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GEMI: A high performance and high flexibility memory interface architecture for complex embedded SOC

GEMI: A high performance and high flexibility memory interfa...

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International Conference on Computer Science and Software Engineering, CSSE 2008

作者： Hualong, Zhao Hongshi, Sang Tianxu, Zhang Yebin, Fan State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780769533360

Two of the most significant factors in the success of today's system-on-chip (SoC) designs are the ability to deliver efficient access to off-chip high speed memory and the ability to be compatible with several different interface-timings of several different sorts of memories. And the scheduling scheme of data streams for multi-master and multi-outstanding requests situation in complex SoC should be considered carefully, too. This paper introduces a novel general external memory interface (GEMI) architecture for the high performance and high flexibility memory interface. Several techniques and methods, i.e. data and command buffers based on asynchronous FIFO, optimized bank management, multi-port access scheduler, request reorder unit, are proposed in this paper for fulfilling the requirements mentioned above. Some techniques are specially proposed for data streams scheduling in complex SoC. At the end of the paper, the simulation and tape-out results are provided. The whole implementation of architecture is proven to be not only functional and efficient, but also flexible and reusable by simulation and silicon verification. © 2008 IEEE.

关键词： Scheduling

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Automatic needle segmentation using 3D Gray-level Hough Transform in 3D ultrasound images

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Journal of Computational Information Systems 2008年第5期4卷 2021-2026页

作者： Qiu, Wu Ding, Mingyue Yuchi, Ming Image Processing and Intelligence Control Key Lab. of Education Ministry of China Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Department of Biomedical Engineering School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

This paper describes a novel 3D needle segmentation algorithm for 3DUS data. The algorithm includes the 3D Gray-level Hough Transform (3DGHT), which is based on the representation (ψ, θ, ρ, α) of straight lines in 3D space and Local Dimensionality Estimator (GST). Different from the traditional Hough transformation the process of binarization is not needed, because the proposed algorithm adopts the original gray level image directly. We tested it with the synthetic data and water phantom. The results show that our algorithm works well in 3D US images with angular deviation less than 1° and position deviation less than 1 mm. © 2008 Binary Information Press.

关键词： Hough transforms

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Efficient Face Segmentation Based on Face Attention Model and Seeded Region Merging

Efficient Face Segmentation Based on Face Attention Model an...

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9th International Conference on Signal processing(第九届国际信号处理学术会议)(ICSP'08)

作者： Zhi Liu Weiwei Li Xiang Zhang Jie Yang School of Communication and Information Engineering Shanghai UniversityChina Key Lab of Advanced Di School of Communication and Information Engineering Shanghai UniversityChina Institute of Image Processing and Pattern Recognition Shanghai Jiaotong UniversityChina

This paper presents an efficient face segmentation approach based on face attention model and seeded region merging.A face attention model that jointly exploits the information of skin color and eye's position is first constructed to obtain a facial saliency map,which indicates the position of possible faces and is used to determine seed *** a seeded region merging algorithm based on regional facial saliency is proposed to generate a sequence of regions,and the region with the highest regional facial saliency is selected to represent each *** results on a variety of images demonstrate the good segmentation performance of the proposed face segmentation algorithm.

关键词： face segmentation face attention model seeded region merging

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