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Real-time detecting system for infrared small target

Real-time detecting system for infrared small target

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Zhang, Zhenjun Cao, Zhiguo Zhang, Tianxu Yan, Luxin Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

The paper presents a design method for high-speed image processing system based on FPGA+DSP+ASIC structure. According to the feature of the devices, the system reconfigures the data path and distributes the algorithm flexibly among DSP, FPGA, and the ASIC. Based on the above processing elements, an infrared small target detecting parallel system is constituted, which makes better use of the advantages of DSP, FPGA and ASIC while avoiding their disadvantages. Finally, the prototype test shows good performance and can meet the expected design target related to real-time processing.

关键词： real-time processing image processing DSP FPGA ASIC

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Method of passive ranging from infrared image sequence based on equivalent area

Method of passive ranging from infrared image sequence based...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Yang, Weiping Shen, Zhenkang Changsniv Def Technol Changsha ATR Key Lab Hunan 410073 Peoples R China

ISBN: (纸本)9780819469502

The information of range between missile and targets is important not only to missile controlling component, but also to automatic target recognition, so studying the technique of passive ranging from infrared images has important theoretic and practical meanings. Here we tried to get the range between guided missile and target and help to identify targets or dodge a hit. The issue of distance between missile and target is currently a hot and difficult research content. As all know, infrared imaging detector can not range so that it restricts the functions of the guided information processing system based on infrared images. In order to break through the technical puzzle, we investigated the principle of the infrared imaging, after analysing the imaging geometric relationship between the guided missile and the target, we brought forward the method of passive ranging based on equivalent area and provided mathematical analytic formulas. Validating Experiments demonstrate that the presented method has good effect, the lowest relative error can reach 10% in some circumstances.

关键词： infrared image sequences passive ranging

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analysis and evaluation for the robustness of feature detection algorithm in medium-wave infrared scene

Analysis and evaluation for the robustness of feature detect...

引用

8th Symposium on multispectral image Processing and Pattern recognition (mippr) - multispectral image acquisition, Processing, and analysis

作者： Tang, Yan Yang, Weidong Zhao, Ge Zou, Lamei Huazhong Univ Sci & Technol Natl Key Lab Sci & Technol Multispectral Informat Sch Automat Wuhan 430074 Peoples R China

ISBN: (纸本)9780819498021

target recognition in natural scenes generally uses the remote sensing image preparation for the matching feature template. image match system finds correspondence between real image and remote sensing image and then output the target position parameters to the aircraft. How to quantitative analysis and evaluate the robustness of the infrared features, and to determine the available features in infrared image matching recognition algorithm is one of the keys of the ground target recognition in complex scenes. In this paper, we built a feature robustness evaluation model for typical match identifying by analyzing for the robustness of features extracted from typical terrains and targets in various condition. Combined with France SE-Workbench-IR simulation platform, we designed a special scene simulation development process, in case of lack of terrain generation module, it also can generate MWIR natural scene image. By analyzing the simulation image and real-time image in the same condition, we can gain the variation information from infrared radiation characteristic in different natural condition. Finally, we verify and assess the robustness of the matching features.

关键词： feature analysis robustness evaluation scene simulation infrared radiation characteristic SE-Workbench

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Infrared image object recognition based on invariant contourlet sub-band features

Infrared image object recognition based on invariant contour...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Mei, Xue Xia, Liangzheng Lin, Jinguo Nanjing Univ Technol Sch Automat Nanjing 210009 Peoples R China Southeast Univ Sch Automat Nanjing 210096 Peoples R China

ISBN: (纸本)9780819469502

A novel feature descriptor - contourlet Fourier invariant feature, which combine contourlet decomposition and Fourier transforms and is translation-, rotation-, and scale-invariant, is put forward in this paper. Firstly, the translation and rotation invariant are achieved by Fourier transform along the circles that around the mass center of the scale-normalized target. Then statistic parameters of General Gaussian density (GGD) model of each contourlet sub-bands are evaluated. GGD parameters and contourlet decomposition coefficients are both as the features, which not only with rotation, shift and scaling invariant, but also with the contourlet inherent property of multi-resolution, local and multi-direction. We present experimental results using this descriptor in infrared image recognition, and it shows this descriptor is a good choice for object recognition.

关键词： invariant feature contourlet decomposition object recognition infrared image

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Deformable target tracking method based on Lie algebra

Deformable target tracking method based on Lie algebra

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Liu, Yunpeng Shi, Zelin Li, Guangwei Chinese Acad Sci Sheyang Inst Automat Shenyang 110016 Peoples R China

ISBN: (纸本)9780819469502

Conventional approaches to object tracking use area correlation, but they are difficult to solve the problem of deformation of object region during tracking. A novel target tracking method based on Lie algebra is presented. We use Gabor feature as target token, model deformation using affine Lie group, and optimize parameters directly on manifold, which can be solved by exponential mapping between Lie Group and its Lie algebra. We analyze the essence of our method and test the algorithm using real image sequences. The experimental results demonstrate that Lie algebra method outperforms other traditional algorithms in efficiency, stabilization and accuracy.

关键词： Lie group Lie algebra target tracking Gabor feature Manifold exponential mapping

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Adaptive template-updating strategy based on singular value decomposition

Adaptive template-updating strategy based on singular value ...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, Guogang Zhang, Zhijia Shi, Zelin Chinese Acad Sci Sheyang Inst Automat Shenyang 110016 Peoples R China Chinese Acad Sci Grad Sch Beijing 100039 Peoples R China Shenyang Univ Technol Shenyang 110023 Peoples R China

ISBN: (纸本)9780819469502

The problem of image matching and target tracking based on singular value decomposition (SVD) is discussed. The SVD has robust performance that is invariant to image disturbance and it makes the singular value credible to represent the image as an algebraic feature. A template-updating strategy is proposed to update the current template based on the scale invariant character of the singular value vector. The updated template that contains the accurate target is adaptively acquired according to the singular value's scale invariance. Experiments are performed on a large test set and the results show that the proposed strategy is practical and efficient in target tracking.

关键词： adaptive template-updating image matching singular value decomposition target tracking

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IR image generation of space target based on openGL

IR image generation of space target based on openGL

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Shen, Tongsheng Guo, Ming Wang, Chenggang Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China Naval Aeronaut Engn Inst Dept Control Engn Yantai 264001 Shandong Peoples R China

ISBN: (纸本)9780819469502

IR Scene simulation has been an important way to design and assess the IR sensor, and the key of simulation is the generation of IR scene image. Based on OpenGL, the method of IR image generation is proposed. The geometry model is constructed with professional CAD software, and the observer location is determined after scene transformation. The full infrared model of space target is built based on infrared physics and heat transfer, which includes the radiation, convection, conduction between different parts of the space target, and which also includes the radiation, convection of environment. Radiance of space target is converted to gray value, and properties of scene are defined according to the gray level. After a series of processing, dynamic IR images are generated with the technology of double buffering.

关键词： OpenGL space target IR radiation quantization IR imaging simulation

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Improved algorithm for image decomposition based on bidimensional emd

Improved algorithm for image decomposition based on bidimens...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： He, Jingbo Peng, Fuyuan Huazhong Univ Sci & Technol Inst Elect & Informat Engn Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

According to the system intrinsic quality of self-comparability and the empirical mode decomposition algorithm of completeness and stability, an improvement algorithm for EMD image decomposition is presented. It is integrity, fast and effective. Some aspects were improved that bidimensional interpolation methods and end conditions of getting intrinsic mode image. Three questions of general algorithm for EMD image decomposition were solved. First, the algorithm for image decomposition was slow;Second, some points were not contained because of delaunay triangulation;Third, the end condition of algorithm was not accuracy. Experiments were made by Matlab and the validity of the improvement algorithm was validated.

关键词： delaunay triangulation empirical mode Decomposition(EMD) image decomposition algorithm

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Aerial sequence image mosaic using reduced sift descriptors

Aerial sequence image mosaic using reduced sift descriptors

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Tuo, Hongya Jing, Zhongliang Zhang, Tinghou Shanghai Jiao Tong Univ Inst Aerosp Sci & Technol Shanghai 200030 Peoples R China

ISBN: (纸本)9780819469502

Sequence image mosaic is an important and effective method to build a large "panoramic" scene which includes two main steps: image registration and intensity blending. In this paper, SIFT feature points are used to match images. SIFT are invariant to rotation, translation and scale changes, but the significant drawback is the high dimensional feature descriptor which lead to the expensive computation. So reduced SIFT descriptors are proposed to increase the speed of image registration. Linear combination methods of the matching points' gray-values are used for intensity blending. The experiments show that our method is useful and has high registration accuracy.

关键词： sequence image mosaic registration SIFT

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Fingerprint image segmentation based on multi-features histogram analysis

Fingerprint image segmentation based on multi-features histo...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, Peng Zhang, Youguang BeiHang Univ Sch Elect & Informat Engn Beijing 100083 Peoples R China

ISBN: (纸本)9780819469502

An effective fingerprint image segmentation based on multi-features histogram analysis is presented. We extract a new feature, together with three other features to segment fingerprints. Two of these four features, each of which is related to one of the other two, are reciprocals with each other, so features are divided into two groups. These two features' histograms are calculated respectively to determine which feature group is introduced to segment the aim-fingerprint. The features could also divide fingerprints into two classes with high and low quality. Experimental results show that our algorithm could classify foreground and background effectively with lower computational cost, and it can also reduce pseudo-minutiae detected and improve the performance of AFIS.

关键词： biometrics fingerprint segmentation histogram

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