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

共 1594 条记录，以下是61-70 订阅

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Multiscale kernel method for image matching

Multiscale kernel method for image matching

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Hui Cheng Jing Zhou Ma, Shian Shen, Dajiang Tian, Jinwen Jianghan Univ Sch Math & Comp Sci Wuhan 430056 Peoples R China Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

In this paper, a new multiscale kernel function model is proposed, according to kernel function nature and the wavelet frame theory. thus a new image support feature is defined based on the multiscale wavelet kernel regression for the purpose of improving image matching algorithm. the comprehensive the feature match and grey correlation method, a novel image fast matching algorithm is proposed based on support feature points. the partial Hausdorff distance is adopted as a similarity measure combined with the wavelet decomposition iteration to search the fine strategy, in the wavelet domain. According to support feature points the position in original image, extracts corresponding the grey value, and achieves the correlation matching. the matched data are compressed effectively because support feature points are sparse. Experimental results demonstrate that the proposed algorithm is robust, fast and can achieve matching accurately.

关键词： kernel functions image matching image feature support vector regression wavelet

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Restoration algorithm for turbulence-degraded images based on multi-scale blind deconvolution

Restoration algorithm for turbulence-degraded images based o...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Hong, Hanyu Zhang, Tianxu Yu, Jiuyang Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China Wuhan Inst Technol Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469519

For the requirement of fast restoration, an algorithm based on multi-scale blind deconvolution is proposed by ing the multi-scale technology based on wavelet transforms. In the condtion of without knowing the point spread function (PSF), two observed images will be used as the inputs, and the two PSFs at large scale can be estimated by using of the data of the two low-frequency subband images and by incorporating some constraint regularizations. Deblurring is made in the low-frequency subband of the two images while restraining noises and preserving details in other three high-frequency subbands. A series of experiments have been performed to verify the effectiveness of the proposed algorithm.

关键词： image restoration blind deconvolution multi-scale regularization

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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...

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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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Detection of space image target based on improved fractal technique

Detection of space image target based on improved fractal te...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Tian, Balin Yuan, Jianping Tian, Jing Liang, Huaqiang Northwestern Polytech Univ Coll Astronaut Xian 710072 Peoples R China Northwestern Polytech Univ Coll Astronaut Xian 710072 Peoples R China Xian Inst Commun Xian AH-710106 Peoples R China

ISBN: (纸本)9780819469502

In the space surveillance applications, recognition of image targets is very important, one of the most difficult problems in image processing is detecting objects in an image. Target detection is a key step for the applications of space image target recognition. An improved method presented in this paper is designed to detect man-made objects in digital images representing in natural environments. this method is based on Fractal theory. According to the fractal feature of man-made object in space, the object can be partitioned off background based on the difference of intrinsic fractal features between them, where the value of fractal dimension (FD) at the objects' edge is much larger than that in other area. the validity of the proposed method is examined by processing and analyzing images of space target at the end of the paper. In detection of targets for real images of Shenzhou-VI and launch vehicle ChangZheng(CZ), the algorithm has a successful outcome. It will provide great efficiency and speed in detection of space image target, which could be also used for further image feature extraction and image segmentation.

关键词： man-made object target detection fractal fractal dimension (FD) box-counting dimension

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Speckle noise reduction based on the theory of rough set and entropy

Speckle noise reduction based on the theory of rough set and...

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5th international symposium on multispectral image processing and pattern recognition

作者： Li, Jun Chen, Guohua Ma, Tiejun S China Univ Technol Coll Ind Equipment & Control Engn Guangzhou 510640 Peoples R China

ISBN: (纸本)9780819469502

A new effective algorithm of speckle noise reduction was presented in the paper, which took the characteristics of the multiplicative of speckle noise and the complexity of fringe pattern into account explicitly. the relationship expressions are deduced between intensity and speckle noise from the intensity distribution of speckle pattern, which indicates that the intensity ratio is equivalent to the speckle noise ratio in a neighborhood. Due to the complexity and correlativity of fringe pattern information, it leads to the problems of uncertainties during the information processed, the algorithm of speckle noise reduction was built based on exponent entropy, and the approximation precision based on rough set was considered in order to preserve the detail information very well. the presented method has a preferable performance based on the integrated visual and quantitative comparison. Because the filter parameters are adaptively determined by the speckle noise coefficient in the local window, the presented method was able to remove the noise in fringe pattern, and simultaneously preserve its edge effectively. the presented algorithm is effective for the laser speckle noise of fringe pattern particularly.

关键词： fringe pattern entropy and rough set noise reduction

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Detail preserving robust anisotropic diffusion for image enhancement and noise reduction

Detail preserving robust anisotropic diffusion for image enh...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Wang, Yi Niu, Ruiqing Zhang, Liangpei Li, Pingxiang China Univ Geosci Inst Geophys & Geomat Wuhan 430074 Peoples R China Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China

ISBN: (纸本)9780819469519

Recently, many researchers have shown interests in anisotropic diffusion methods in image processing. there are two key problems on image restoration techniques based on anisotropic diffusion: one is to build stable diffusion coefficients;the other is to select the optimal stopping time for iterative diffusion process. In this paper, a time-dependent robust anisotropic diffusion method is proposed. the new method is a robust anisotropic diffusion with incorporated time dependent cooling process, and the gradient threshold is the monotonic decreasing function of the time. thus, the parameters settings and the estimate of the optimal stopping time can be easily resolved. Meanwhile, the proposed method can lessen the over-smooth in image edge features. In order to extent the applicability of the proposed method, we extent the model to the vector-valued form and present time-dependent multispectral robust anisotropic diffusion. Experimental results, performed on several gray images, color images and multispectral remote sensed images, have shown that the time-dependent robust anisotropic diffusion methods can effectively smooth out noise while preserving edge features.

关键词： detail preserving robust anisotropic diffusion parameter tuning

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Wavelet-based SAR images despeckling using Joint Hidden Markov Model

Wavelet-based SAR images despeckling using Joint Hidden Mark...

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5th international symposium on multispectral image processing and pattern recognition

作者： Li, Qiaoliang Wang, Guoyou Liu, Jianguo Chen, Shaobo Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469519

In the past few years, wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. the hidden Markov tree (HMT) model captures the key features of the joint probability density of the wavelet coefficients of real-world data. One potential drawback to the HMT framework is the deficiency for taking account of intrascale correlations that exist among neighboring wavelet coefficients. In this paper, We propose to develop a joint hidden Markov model by fusing the wavelet Bayesian denoising technique with an image regularization procedure based on HMT and Markov random field (MRF). the Expectation-Maximization algorithm is used to estimate hyperparameters and specify the mixture model. the noise-free wavelet coefficients are finally estimated by a shrinkage function based on local weighted averaging of the Bayesian estimator. It is shown that the joint method outperforms lee filter and standard HMT techniques in terms of the integrative measure of the equivalent number of looks (ENL) and Pratt's figure of merit(FOM), especially when dealing with speckle noise in large variance.

关键词： Bayesian estimation Markov random field speckle Joint Markov Model wavelet denoising

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Interactive dynamic graph cut based image segmentation with shape priors

Interactive dynamic graph cut based image segmentation with ...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Liu, Chen Li, Fengxia Zhan, Shouyi Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China

ISBN: (纸本)9780819469502

In this paper, we present a new method bases on dynamic graph cut and captures both the shape and the nature information of the image for interactive image segmentation. While traditional interactive graph cut approaches for image segmentation are often successful, they may fail in camouflage. Prior shape knowledge can largely mitigate this problem. In this paper, two kinds of shape priors are taken into account to obtain more accurate results. In order to use the information from user input more effectively, a weight function is introduced to control the relative importance of shape knowledge. then, a one-shot fully dynamic graph cut algorithm is introduced to minimize the energy function, and during this procedure, only a subset of pixels in the image is considered, which greatly reduces the complexity of dynamic graph cut algorithm. Extensive experiments, including comparisons with some state-of-the-arts, show the effectiveness of our methods in improving the segmentation performance and saving the processing time.

关键词： image segmentation shape prior dynamic graph cut

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Descreening method of scanned halftone image based on wavelet

Descreening method of scanned halftone image based on wavele...

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5th international symposium on multispectral image processing and pattern recognition

作者： Yi, Yaohua Liu, Juhua Yu, Changhui Qin, Qlanqing Wuhan Univ Sch Printing & Packaging 129 Luoyu Rd Wuhan 430079 Peoples R China Wuhan Univ Sch Remote Sensing Informat Engn 2 Wuhan 430079 Peoples R China Wuhan Univ State Key Lab Informat Engn Surveying Mapping & Remote Sensing Wuhan 430079 Peoples R China

ISBN: (纸本)9780819469502

In the workflow of image reproduction, the halftone image is usually used as scanned original image. the moire patterns are a result of intervention during the process of scanning. this paper provides a descreening method of scanned halftone image based on wavelet according to the cause and the character of moire patterns. Experiment result shows that this descreening method can remove the moire patterns effectively and at the same time hold the definition and entropy of the scanned halftone image.

关键词： descreening scanned halftone image wavelet

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Linear object extraction from high-resolution image based on MRF and Bayesian

Linear object extraction from high-resolution image based on...

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5th international symposium on multispectral image processing and pattern recognition

作者： Yu, Changhui Meng, Lingkui Yi, Yaohua Yang, Zhigao Wuhan Univ Sch Remote Sensing Informat Engn 129 Luoyu Rd Wuhan 430079 Peoples R China Wuhan Univ Sch Printing & Packaging Wuhan AH-430079 Peoples R China Wuhan Univ State Key Lab Informat Engn Surveying Mapping & Remote Sensing Wuhan AH-430079 Peoples R China

ISBN: (纸本)9780819469502

the commercialization of high resolution remote sensing image provides the image application more widely space. How to extract the interested important objects quickly and exactly from remote sensing image is always the research focus. After analyzed the characteristics of road in high resolution image, the paper constructed the road extraction model based on MRF and Bayesian. And finally the validity of the method was confirmed by an example.

关键词： high resolution remote sensing image bayesian markov random field

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