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Vector optimization approach to spotlight mode SAR imaging

Vector optimization approach to spotlight mode SAR imaging

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Lai, P Wang, Y Zhejiang Univ Minist Educ China Key Lab Biomed Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)0819451819

It has been demonstrated that Spotlight Mode Synthetic Aperture Radar (SAR) Imaging falls into a band-limited tomographic reconstruction problem in far field and small rotation angle situation. So far, several methods, such as two-dimensional inverse FFT (2D IFFT) algorithm and convolution back-projection (CBP) algorithm, have been developed to solve this problem. The purpose of our work was to investigate another method based on vector optimization (VO). In this article, mathematical model and algorithm are presented first, and then experimental results are shown to ascertain the superiority of this method over conventional ones.

关键词： vector optimization synthetic aperture radar resolution image quality

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Interactive virtual navigation in human organs

Interactive virtual navigation in human organs

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Li, GM Tian, J Zhao, MC He, HG Chinese Acad Sci Inst Automat Key Lab Complex Syst & Intelligence Sci Med Image Proc Grp Beijing 100080 Peoples R China

ISBN: (纸本)0819451819

Virtual endoscopy is meaningful for medical diagnosis and surgery. In this paper, a system framework for virtual endoscopy is proposed including automatic centerline extraction and view-dependent level-of-detail rendering techniques. Combining Hessian Matrix with distance mapping, our path planning method can generate accurate skeleton for virtual navigation. Furthermore, real time rendering can be achieved with our new view-dependent subdivision algorithm. The experimental results show the efficiency of our methods.

关键词： virtual endoscopy path planning mesh simplification mesh subdivision virtual navigation

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Detection and analysis of moving objects in infrared image sequences based on supervised learning

Detection and analysis of moving objects in infrared image s...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Zhang, TX Zhang, W Shen, J Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan Peoples R China

ISBN: (纸本)0819451819

Optical Flow computing don't require the rigorous corresponding relationship among features of sequential images, so this approach is widely used in computer vision field including detection and dynamic analysis of moving objects. But it is rarely used in infrared images because of the high noise levels of images. This article proposes a moving object pre-detection algorithm based on supervised learning, image pair difference significance test and minimum cost Bayes rule. This algorithm can not only efficiently be applied in indicating moving objects in infrared image sequences, but also in optical flow computing, and behavior analysis of the moving objects.

关键词： Optical flow Infrared imaging Infrared radiation Machine learning Infrared detectors image processing image resolution Evolutionary algorithms Computer vision technology Machine vision

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A hybrid method for image interpolation

A hybrid method for image interpolation

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Qi, C Huang, H Wang, WB Zhang, J Di, SL Xi An Jiao Tong Univ Sch Elect & Informat Engn Image Proc Ctr Xian 710049 Peoples R China

ISBN: (纸本)0819451819

A hybrid method for image interpolation is proposed. The method consists three different approaches: Circular arc or B-spline interpolation, linear interpolation and human visual sensitivity based interpolation. The image can be divided into three regions: linear smooth region, sharp edge region and human visual insensitive region. The method uses local variance and mean value to find different regions adaptively. The linear interpolation is used for linear, smooth region. The human visual sensitivity based interpolation is used for human visual insensitive region and the circular arc or B-spline interpolation is used for sharp edge region. Experiments show that proposed method produces results that are more visually realistic than standard function-fitting methods.

关键词： image interpolation circular arc B-spline human visual sensitivity

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A fast practical feature point matching algorithm

A fast practical feature point matching algorithm

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Hu, MH Ren, MW Yang, JY Nanjing Univ Sci & Technol Dept Comp Sci Nanjing 210094 Peoples R China

ISBN: (纸本)0819451819

This paper proposed a new stable algorithm based on feature point matching, which can be used in image registration under shift and rotation. The new method firstly extracts feature points in the first image of an image sequence and then searches matching points in the consecutive images. Different from conventional methods, it adopts constrain of distance to revise matching and removing false matching, and also adopts projection of pixel to filter feature points and choose many possible matching possible points for one reference feature point, which make it fast and reliable. Experiments prove this method is practical and reliable.

关键词： feature point matching image registration sequence image feature point extraction

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Complete structure recovery from long image sequence with occlusions

Complete structure recovery from long image sequence with oc...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Tang, L Wu, C Liu, S Yan, YP Xidian Univ ISN Natl Key Lab Xian 710071 Peoples R China

ISBN: (纸本)0819451819

An algorithm to retrieve structure from long image sequence captured by a hand-held camera is proposed. Firstly, the long image sequence is divided into several subsets. Each subset has common feature points. Secondly, Euclidean reconstruction is obtained by factorization with all of these points visible in each image of a certain subset. Then results coming from different subset are brought into a common coordinate frame by the similarity transformations. Finally, global optimization is applied to refine the data and produce a jointly optimal 3D structure. A significant merit of the algorithm is that it can deal with the long image sequences with occlusions. The algorithm has been tested on real images with satisfactory results.

关键词： factorization global optimization Euclidean reconstruction occlusion similarity transformation

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Planar curve smoothing for pattern recognition

Planar curve smoothing for pattern recognition

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Kpalma, K Ronsin, J Inst Natl Sci Appl Grp Image & Teledetect UMR CNRS 6164 IETR Rennes France

ISBN: (纸本)0819451819

In this paper, we present a method in the context of pattern characterization. This method is based on the analysis of closed contours of planar objects. The input contour is, first, separated into its x and y coordinates to generate two 1D signals. Both signals are then progressively low-pass filtered with a Gaussian kernel by decreasing the filter bandwidth. The output signals X and Y are then scaled so that the reconstructed contour and the original one can intersect. By doing so, we generate the so called IPM (Intersection Points Map) function that yields interesting attributes for pattern characterisation. The experimental results obtained by applying this method to various contours show that the IPM function is strongly related to the input contour and is rotation and translation invariant. It is also invariant under scale change for a large range of scales. According to the experimental results, this function appears to be computationally very simple and to provide well-adapted features in the context of pattern recognition.

关键词： pattern recognition planar object curve smoothing Gaussian filter intersection point map

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Restoring multisource degraded images based on wavelet-domain projection pursuit learning network

Restoring multisource degraded images based on wavelet-domai...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Lin, W Tian, Z Wen, XB Northwestern Polytech Univ Xian 710072 Peoples R China

ISBN: (纸本)0819451819

The Wavelet-Domain Projection Pursuit Learning Network (WDPPLN) is proposed for resolving the difficult task that restoring image, which is blurred by multisource degraded factors image. The new approach combines the advantages of both the projection pursuit and the wavelet shrinkage technique. By separately processing wavelet coefficients and scale coefficients, the WDPPLN resolves the problem of restoring image very well, when little or no a prior information about the degradation is available. The WDPPLN estimates the degraded factor, which blurred the image, using Projection Pursuit Learning Network (PPLN). Also, it suppresses the noise using the soft-threshold of the wavelet shrinkage technique. The new method is compared with the traditional methods and the PPLN method in visual effect and objective evaluation criterion. Experimental results show that it is an effective method for restoring multisource degraded image.

关键词： wavelet-domain projection pursuit learning network wavelet shrinkage multisource degraded image restoring image

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A new method of dynamic multi-target tracking and measuring

A new method of dynamic multi-target tracking and measuring

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Wang, F Zheng, NN Liu, YH Xian Jiaotong Univ Inst Artificial Intelligence & Robot Xian 710049 Shaan Xi Peoples R China

ISBN: (纸本)0819451819

In allusion to the features of dynamic multi-target tracking and measuring system (DMTTMS), compares the DMTTMS with the single target tracking and measuring system (STTMS) and analyses the difficulties about homonymy image point ascertainment in DMTTMS. Three methods are presented based on the geometric peculiarity of rays in imaging principia of geometric optics to solve the problem of homonymy image point ascertainment. A design scheme of DMTTMS is put forward using multiple optical capture instruments. Further-more, an algorithm is emphasized that could treat with some targets that are hided by other targets. The simulating result shows that proposed scheme and algorithm has feasibility and validity for DMTTMS.

关键词： multi-target tracking and measuring homonymy image point

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Discussion about Foley-Sammon optimal discriminant vector

Discussion about Foley-Sammon optimal discriminant vector

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Xu, Y Yang, JY Lu, JF Nanjing Univ Sci & Technol Dept Comp Sci Nanjing 210094 Jiangsu Peoples R China

ISBN: (纸本)0819451819

In this paper some properties of Foley-Sammon optimal discriminant vector(FSODV), by contrast with uncorrelated optimal discriminant vector(UODV), are discussed. Firstly the Fisher ratio of every FSODV must be not less than that of corresponding UODV and consequently sole FSODV will be Superior to corresponding UODV. Secondly the correlation between feature components extracted by FSODV is an important factor. If high correlation is available between most of the feature components, the classification performance of FSODV will be remarkably inferior to UODV. However, if most of the feature components are only little correlative to each other, FSODV is comparative to UODV in classification.

关键词： pattern recognition feature extraction FSODV UODV Fisher ratio correlation coefficient

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