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检索条件"任意字段=5th International Symposium on Multispectral Image Processing and Pattern Recognition"

共 1596 条记录，以下是111-120 订阅

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Scene understanding with tri-training

Scene understanding with tri-training

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Zhu, Lin Zhou, Jie Song, Jingyan Tsinghua Univ Automat Dept Beijing 100084 Peoples R China

ISBN: (纸本)9780819469502

Scene understanding needs not only detecting objects in the scene, but also obtaining the relationship between the objects and the scene, for example the reasonable size and occurrence possibility of objects at one position in the scene. With this relationship, the traditional object detection approach, which may misclassify objects with wrong sizes or position of the scene, can be greatly improved. In this paper, a novel scale model is proposed to describe the understanding of the scene. the scale model consists of the occurrence possibility and the reasonable size of pedestrian in each position of the scene. the scale model is learned by counting the pedestrian examples with different sizes in different positions of the scene for a period of time, instead of computing the geometry and viewpoint information in a single image. the examples are detected automatically by a detector which is trained with tri-training based semi-supervised approach. Experimental results indicate that the scale model of the scene can be learned with semi-supervised detection without the information of the 3D geometry and the assumption of plain ground.

关键词： image understanding scale model semi-supervised training tri-training

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Template coarse matching of SAR and optical images based on wavelet subbands and Hausdorff distance - art. no. 67862X

Template coarse matching of SAR and optical images based on ...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Mao, Xia Huang, Kang Liang, Yaoming Beihang Univ Sch Elect & Informat Engn Beijing 100083 Peoples R China

ISBN: (纸本)9780819469502

this paper presents a suited approach to deal with the template coarse matching of synthetic aperture radar (SAR) and optical images based on wavelet subbands and Hausdorff distance. Firstly, we analyze the discrepancy of imaging character between SAR and optical images. Secondly, we occupy the max flat wavelet decomposition to obtain the template images, which also can suppress the speckle in SAR. thirdly, improved canny algorithm is employed to extract the edge feature of SAR and optical images after image enhancement, respectively. Finally, this paper applies the modified Hausdorff distance with the optimum coefficient to the similarity measurement for the matching. the experimental results demonstrate the validity of the proposed methodology.

关键词： coarse matching SAR optical image wavelets Hausdorff distance

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Fast and accurate automatic SAR image registration using seven invariant moments and improved chain coding of region boundaries - art. no. 67871I

Fast and accurate automatic SAR image registration using sev...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Wang, Shuang Xiao, Jing Jiao, Licheng Zeng, Liang Xidian Univ Inst Intelligent Informat Proc Xian 710071 Peoples R China

ISBN: (纸本)9780819469519

this paper deals with subpixel accuracy Synthetic Aperture Radar (SAR) image registration which also satisfies real-time demand of SAR image processing. Because of the presence of speckle noise in SAR image, improved region detection method are carried on in reference image and sensed image respectively firstly. then each region is represented by a set of invariant moments and chain coding of the region boundary. Correspondence between the regions in the reference image and sensed image is established by the improved regions matching criterion which proposed by us. the centers of gravity and the corners on the region boundary are the potential control points. Correspondence between the control points is established in the feature space, using the principle of minimum distance classifier. After finding enough and right matched control points, interpolation and estimation of transformation parameters using least squares method are executed finally.

关键词： Synthetic Aperture Radar image registration moment invariants chain coding

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SAR image speckle noise reduction based on second generation bandelets and a kernel-based possibilistic C-means clustering

SAR image speckle noise reduction based on second generation...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Liu, Shuang Hou, Biao Jiao, Licheng Zhang, Guofeng Xidian Univ Inst Intelligent Informat Proc Xian 710071 Peoples R China

ISBN: (纸本)9780819469519

Synthetic Aperture Radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of the scattering phenomenon. Speckle noise of SAR affects image quality and image interpretation seriously. To alleviate deleterious effects of speckle, various ways have been devised to suppress it. An ideal algorithm should smooth the speckle without blurring edges and fine details. But most classical algorithms cannot satisfy these two demands very well. Due to the property of SAR images speckles is multiplicative noise, it difficult to estimate the variance of the high-frequency subband coefficients. Most classical approaches such as wavelet thresholding or shrinkage scheme of Donoho and Johnstone are not suitable for SAR images speckle noise removal. In this paper, a novel approach to SAR image speckle reduction is presented., which is based on second generation bandelets and a kernel-based possibilistic C-means clustering algorithm (BKPCM).

关键词： SAR images speckle reduction second generation bandelets KPCM

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Novel motion object extraction algorithm

Novel motion object extraction algorithm

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5th international symposium on multispectral image processing and pattern recognition

作者： Xiao, Yi-Jun Wang, Bang-Pin Lu, Xiao-Chun Jiang, Xin-Rong Sichuan Univ Graph & Image Res Lab Sch Comp Sci Chengdu Peoples R China

ISBN: (纸本)9780819469502

In intelligent transport system, it is very important to precisely segment motion object from complex scene. Background difference and frame difference are two classic motion object extraction algorithms. If there are shadows associated to moving objects, both of the methods cannot extract moving object precisely. With this problem, this paper proposes a motion object extraction algorithm based on active contour model (ACMMOE). the following steps are performed in ACMMOE: firstly, moving areas involving shadows are segmented with classical background difference algorithm. Secondly, perform shadow detection and coarsely removal, then using grid method to extract initial contours. Finally, use active contour model approach to the contour of the real object by iteratively tuning the parameter of the model. the proposed algorithm adopts greedy algorithm to speed up the solution to active contour model. Experiments show the algorithm can remove the shadow and keep the integrity of moving object.

关键词： active contour model shadow detection dilate erode

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Infrared small target detection and tracking under the conditions of dim target intensity and clutter background

Infrared small target detection and tracking under the condi...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Bai, Xiangzhi Zhou, Fugen Jin, Ting Xie, Yongchun Beihang Univ Image Proc Ctr Beijing 100083 Peoples R China Beijing Inst Control Engn Beijing 100080 Peoples R China

ISBN: (纸本)9780819469502

To reduce the influences of the dim target intensity and heavy clutter on infrared small target detection and tracking, a novel algorithm is presented in this paper. the algorithm proposes a modified top-hat transformation by importing the property of the small target region firstly, which largely enhances the dim target and apparently suppresses the heavy clutter. Consequently, the potential targets are easy to be segmented by the iterative thresholding method. After decreasing the false alarms through the dilation cumulation, the real target and the trajectory are correctly given by using the data association formed by the motion property of the real target. Various experiments verified that the proposed algorithm was efficient and robust for dim target detection and tracking under the condition of heavy clutter.

关键词： target detection and tracking infrared dim small target clutter background top-hat transformation dilation cumulation iterative thresholding

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Stochastic approach based salient moving object detection using kernel density estimation

Stochastic approach based salient moving object detection us...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Tang, Peng Liu, Zhifang Gao, Lin Sheng, Peng Sichuan Univ Inst Image & Graph Dept Comp Sci Chengdu 610065 Peoples R China

ISBN: (纸本)9780819469502

Background modeling techniques are important for object detection and tracking in video surveillances. Traditional background subtraction approaches are suffered from problems, such as persistent dynamic backgrounds, quick illumination changes, occlusions, noise etc. In this paper, we address the problem of detection and localization of moving objects in a video stream without apperception of background statistics. three major contributions are presented. First, introducing the sequential Monte Carlo sampling techniques greatly reduce the computation complexity while compromise the expected accuracy. Second, the robust salient motion is considered when resampling the feature points by removing those who do not move in a relative constant velocity and emphasis those in consistent motion. Finally, the proposed joint feature model enforced spatial consistency. Promising results demonstrate the potentials of the proposed algorithm.

关键词： video surveillance moving object detection kernel density estimation Monte Carlo simulation

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3-band symmetric bi-orthogonal filter banks with compact support and their applications in signal processing

3-band symmetric bi-orthogonal filter banks with compact sup...

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5th international symposium on multispectral image processing and pattern recognition

作者： Lia, Guokuan Xu, Changfa Guan, Jun Song, Enmin Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Dept Math Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

Multi-band wavelets are newly emerging branch in wavelet family and could have better properties than dyadic wavelets in terms of symmetry, orthogonality, compact support and smoothness. the purpose of this paper is to present a new method for constructing the filter banks of 3-band symmetric bi-orthogonal wavelet using a scaling function of linear spline function. To construct such 3-band wavelet with desirable properties, a set of linear algebra equations can be listed according to the requirements of the bi-orthogonal multi-resolution analysis. And these equations are then solved to obtain the filter coefficients. the properties of the filters and the multi-resolution analysis (MRA) in signal processing are discussed. Experiments show that the 3-band filter banks could be potentially better in signal processing than dyadic wavelets.

关键词： 3-band wavelet compact support multi-resolution analysis symmetry orthogonality decomposition reconstruction

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Parallel algorithm of VLBI software correlator under multiprocessor environment - art. no. 678722

Parallel algorithm of VLBI software correlator under multipr...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Zheng Weimin Zhang Dong CAS Shanghai Astron Observ Shanghai 200030 Peoples R China

ISBN: (纸本)9780819469519

the correlator is the key signal processing equipment of a Very Lone Baseline Interferometry (VLBI) synthetic aperture telescope. It receives the mass data collected by the VLBI observatories and produces the visibility function of the target, which can be used to spacecraft position, baseline length measurement, synthesis imaging, and other scientific applications. VLBI data correlation is a task of data intensive and computation intensive. this paper presents the algorithms of two parallel software correlators under multiprocessor environments. A near real-time correlator for spacecraft tracking adopts the pipelining and thread-parallel technology, and runs on the SW (Symmetric Multiple Processor) servers. Another high speed prototype correlator using the mixed Pthreads and MPI (Massage Passing Interface) parallel algorithm is realized on a small Beowulf cluster platform. Both correlators have the characteristic of flexible structure, scalability, and with 10-station data correlating abilities.

关键词： VLBI software correlator parallel processing high performance computing cluster MPI Pthreads

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Detection of ash fusion temperatures based on the image processing

Detection of ash fusion temperatures based on the image proc...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Li, Peisheng Yue, Yanan Hu, Yi Li, Jie Yu, Wan Yang, Jun Hu, Niansu Yang, Guolu Wuhan Univ Coll Power & Mech Engn Wuhan 430072 Peoples R China Wuhan Univ Sch Water Res & Hydropower Wuhan 430072 Peoples R China Wuhan Univ Sewage Sludge & Silt Res Ctr Wuhan 430072 Peoples R China

ISBN: (纸本)9780819469502

the detection of ash fusion temperatures is important in the research of coal characteristics. the prevalent method is to build up ash cone with some dimension and detect the characteristic temperatures according to the morphological change. However, Conditional detection work is not accurate and brings high intensity of labor as a result of both visualization and real-time observation. According to the insufficiency of conventional method, a new method to determine ash fusion temperatures with image processing techniques is introduced in this paper. Seven techniques (image cutting, image sharpening, edge picking, open operation, dilate operation, close operation, geometrical property extraction) are used in image processing program. the processing results show that image sharpening can intensify the outline of ash cone;Prewitt operator may extract the edge well among many operators;mathematical morphology of image can filter noise effectively while filling up the crack brought by filtration, which is useful for further disposal;characteristic temperatures of ash fusion temperatures can be measured by depth-to-width ratio. Ash fusion temperatures derived from this method match normal values well, which proves that this method is feasible in detection of ash fusion temperatures.

关键词： image processing ash fusion temperatures coal

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