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检索条件"机构=The Key Laboratory of Images Processing and Pattern Recognition Laboratory"

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An improved algorithm of search for compressive sensing image recovery based on lp norm

An improved algorithm of search for compressive sensing imag...

引用

Chinese Automation Congress, CAC 2015

作者： Yuan, Jiang Pei, Shen Ping, Zhao Yang, Daiji Zhen, Chen Jiangxi Province Key Laboratory of Image Processing and Pattern Recognition Nanchang330063 China College of Information Engineering Nanchang Hangkong University 330063 China

Compressed sensing theory by developing a signal sparse features, under the condition of far less than the Nyquist sampling rate, the correct signal is acquired with random sampling the discrete samples, and then thro... 详细信息

ISBN: (纸本)9781467371896

关键词： Image reconstruction

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An algorithm for radar scene matching based on multi-area selection using fuzzy sets

An algorithm for radar scene matching based on multi-area se...

引用

MIPPR 2005: Image Analysis Techniques

作者： Yang, Weidong Zuo, Zhengrong Zhang, Tianxu Mao, Haicen State Key Laboratory of Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

Radar scene matching technique has been widely found in many application fields such as remote sensing, navigation, terrain-map match, scenery variance analysis and so on. Radar image geometry is quite different from that of optical satellite imagery, whose imaging is a slanting imaging of electromagnetic microwave reflection. The different characters between radar image and optical satellite images are very distinct, such as the layover distortion of ground-truth and speckle noise, which degrades the image to such an extent that the features are very unclear and difficult to be extracted. So the factors such as the hypsography, ground truth, sensor altitude and imaging time should be taken into account for radar image and optical image matching. In this paper, we develop an image match algorithm based on reference map multi-area selection using fuzzy sets. Image matching is generally a procedure that calculates the similarity measurement between sensed image and the corresponding intercepted image in reference map and it searches the maximum position in the correlation map. Our method adopts a converse matching strategy which selects multi-areas in optical reference map using fuzzy sets as model images, then match them on the sensed image respectively by normalized cross correlation matching algorithm and fuse the match results to get the optimum registered position. Multi-areas selection mainly considers two influence factors such as ground-truth texture features and the hypsography (DEM) of imaging region, which will suppress the influence of great variance imaging region. Experiment results show the method is effective in registering performance and reducing the calculation.

关键词： Remote sensing

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Image compression algorithm using image restoration based on wavelet analysis

Image compression algorithm using image restoration based on...

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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： Cheng, Zhao Zhang, Tianxu Lu, Haifeng State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

In this paper, we consider lossy image compression, which is based on wavelet theory. We introduce image restoration technology into the wavelet compression. By applying image restoration to the low-frequency component obtained by entropy decoding in decompression process, we retrieve a gained high-frequency component, which is the expression of reconstructed image texture in frequency domain. As a benchmark, the algorithm we present is compared to the traditional wavelet compression. The results of comparative experiments show that our method performs better than traditional algorithms. The PSNR in our method is elevated generally, and the reconstructed image is more texture-richer than the traditional approach without restoration. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Image reconstruction

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A novel automatic motion segmentation method based on optical flow

A novel automatic motion segmentation method based on optica...

引用

International Conference on Multimedia Technology

作者： Lu, Haifeng Zhang, Tianxu Yao, Cong State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424478743

Motion segmentation is one of the fundamental problems in digital image processing area. The estimation of velocity field is one of the most notable approaches on the first step of motion segmentation. A novel motion segmentation method is proposed, which is nonparametric and automatically selects value of the segmentation criterion. In particular, we first employ the optical flow to estimate the motion field;then we establish a segmentation criterion and measure the difference between regions of the moving objects and background separated in the segmentation criterion at each level;next we adopt the level of the segmentation criterion which makes the two regions the most different;finally, our approach output regions of moving objects and background from the scene. Experimental results demonstrate that our method is effective, and the procedure is much simpler than the methods often used. ©2010 IEEE.

关键词： Optical flows

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A new contour tracing method in a binary image

A new contour tracing method in a binary image

引用

2nd International Conference on Multimedia Technology, ICMT 2011

作者： Kang, Lie Zhong, Sheng Wang, Fang State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781612847740

this paper presents a novel fast single-pass contour tracing algorithm in a binary image. The proposed algorithm is viewed as follow steps: firstly a set of contour segments of all object contours can be generated and traced in a top-down line scan fashion;then all contour segments are employed to be integrated into respective intact contours;finally all results are converted into the chain code as the final output. This algorithm can extract multiple contours of an image in one pass and never lose any outer and inner contour of object region. It is faster on implementation. Experiments results prove those advantages. © 2011 IEEE.

关键词： Binary images

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A high performance fully pipelined architecture for lossless compression of satellite image

A high performance fully pipelined architecture for lossless...

引用

2010 International Conference on Multimedia Technology, ICMT 2010

作者： Wang, Ze Zhang, Tianxu Yan, Luxin Gong, Cheng State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424478743

This paper presents a novel hardware implementation of the adaptive JPEG-LS in field programmable gate array (FPGA), based on the low complexity lossless compression for images (LOCO-I) compression scheme. Differently from what previously reported in literature, this design achieves a much lower complexity and super high data throughput through an improved prediction model by breaking the feedback loop of context parameters updating. The processing speed of this design is up to 75Mpixels per second, while the compression ratio is slightly lower than the standard JPEG-LS compression. Performance evaluation also indicates that design complexity and compression efficiency can be taken account at the same time to achieve satisfactory result. Such an implementation could be used for high-speed compression of satellite remote sensing image onboard. ©2010 IEEE.

关键词： Image compression

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3D model retrieval using density-based silhouette descriptor

3D model retrieval using density-based silhouette descriptor

引用

2nd International Conference on pattern recognition Applications and Methods, ICPRAM 2013

作者： Tang, Qi Yang, Xin Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China

ISBN: (纸本)9789898565419

In this paper we present a new content-based retrieval descriptor, density-based silhouette descriptor (DBS). It characterizes a 3D object with multivariate probability functions of its 2D silhouette features. The new descriptor is computationally efficient and induces a permutation property that guarantees invariance at the matching stage. Also, it is insensitive to small shape perturbations and mesh resolution. The retrieval performance on several 3D databases shows that the DBS provides state-of-art discrimination over a broad and heterogeneous set of shape categories.

关键词： Probability density function

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A method for dynamic infrared image simulation under various natural conditions

A method for dynamic infrared image simulation under various...

引用

MIPPR 2009 - Multispectral Image Acquisition and processing: 6th International Symposium on Multispectral Image processing and pattern recognition

作者： Zheng, Lulu Sun, Siyuan Zhang, Tianxu Li, Ziliang Wan, Meijun State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478054

Infrared image simulation plays an important role in many fields. This paper presents a method for dynamic infrared image simulation under various natural conditions. Firstly, we analyze the infrared imaging rationale, considering various affected factors of temperature, radiance filed and atmospheric attenuation based on the heat transfer equation. Secondly, we present a reasonable simulation procedure based on the Vega Application Interface (API). Especially, a hybrid simulation idea is put forward and an improved strategy for different objects is carried out. The performance of this approach is evaluated by simulating two kinds of targets. Results show that the method proposed is valid compared with the real images under the same condition. In addition, this approach has relatively low calculation complexity but high fidelity, and satisfies the requirement of real time. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Thermography (imaging)

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Integrating segmentation and classification accuracy for accuracy assessment in object-based image analysis

Integrating segmentation and classification accuracy for acc...

引用

2012 3rd IEEE/IET International Conference on Audio, Language and Image processing, ICALIP 2012

作者： Li, Nan Huo, Hong Fang, Tao Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China

ISBN: (纸本)9781467301718

An accuracy assessment method that integrates segmentation and classification accuracy is proposed to meet the requirements of object-based image analysis. Segmentation errors are measured by establishing the relationship between pixels and their corresponding segments according to the overlaps of segments and reference polygons. Then, two improved confusion matrices that take the segmentation errors into consideration are used: one for pixel-level classification results, and the other for object-level classification results. A final accuracy assessment combines the statistics of these two confusion matrices. The proposed method can be applied to segmentation scale selection in the hierarchical interpretation system. An experiment on a SPOT5 image demonstrates the effectiveness of this method for segmentation scale selection, which can guide the fusion of objects of different scales to obtain a higher accuracy. © 2012 IEEE.

关键词： Image analysis

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Multiple kernel learning method using MRMR criterion and kernel alignment

Multiple kernel learning method using MRMR criterion and ker...

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20th International Conference on Neural Information processing, ICONIP 2013

作者： Wu, Peng Duan, Fuqing Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan 250022 China

ISBN: (纸本)9783642420535

Multiple kernel learning (MKL) is a widely used kernel learning method, but how to select kernel is lack of theoretical guidance. The performance of MKL is depend on the users' experience, which is difficult to choose the proper kernels in practical applications. In this paper, we propose a MKL method based on minimal redundant maximal relevance criterion and kernel alignment. The main feature of this method compared to others in the literature is that the selection of kernels is considered as a feature selection issue in the Hilbert space, and can obtain a set of base kernels with the highest relevance to the target task and the minimal redundancies among themselves. Experimental results on several benchmark classification data sets show that our proposed method can enhance the performance of MKL. © Springer-Verlag 2013.

关键词： Benchmarking

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