检索结果-内蒙古大学图书馆

International Conference on Neural Computation Theory and Applications, NCTA 2011

作者： Zhou, Xiuling Guo, Ping Philip Chen, C.L. Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing 100875 China Artificial Intelligence Institute Beijing City University Beijing China Faculty of Science and Technology University of Macau Macau China

ISBN: (纸本)9789898425843

Regularization is a solution to solve the problem of unstable estimation of covariance matrix with a small sample set in Gaussian classifier. And multi-regularization parameters estimation is more difficult than single parameter estimation. In this paper, KLIM-L covariance matrix estimation is derived theoretically based on MDL (minimum description length) principle for the small sample problem with high dimension. KLIM-L is a generalization of KLIM (Kullback-Leibler information measure) which considers the local difference in each dimension. Under the framework of MDL principle, multi-regularization parameters are selected by the criterion of minimization the KL divergence and estimated simply and directly by point estimation which is approximated by two-order Taylor expansion. It costs less computation time to estimate the multi-regularization parameters in KLIM-L than in RDA (regularized discriminant analysis) and in LOOC (leave-one-out covariance matrix estimate) where cross validation technique is adopted. And higher classification accuracy is achieved by the proposed KLIM-L estimator in experiment.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Perceptual prediction for bionically inspired autonomous agents

Perceptual prediction for bionically inspired autonomous age...

引用

AFRICON Conference

作者： Clemens Muchitsch Alexander Wendt Klaus Doblhammer Dietmar Bruckner Jana Machajdik Institute of Computer Technology Vienna University of Technology Vienna Austria Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Vienna University of Technology Vienna Austria

To manage the increasing volume of data per time unit, achievements in information processing and artificial intelligence were made. But still the complex processes of human perception and scenario recognition are not fully understood and still far from implementation in technical applications. The contribution of this article to the field of cognitive automation is the concept of prediction for perceptual- and scenario-recognition frameworks. It is a model where prediction originates from neuro-psychoanalytical theories. Inspired by experience-based planning, which is used by the psychoanalytical decision unit, the prediction of possible outcomes from scenarios can be used for proactive acting. It results in a higher detection rate and a faster performance for recognition-units. This first implementation shows the possibilities of the concept and gives an outlook of the performance as soon as the system is fully integrated in the decision-unit.

关键词： Humans Knowledge based systems Conferences TV Educational institutions Brain modeling Decision making

来源：评论

学校读者我要写书评

暂无评论

Shape deformation using golden section search in PCA-based statistical shape model

Shape deformation using golden section search in PCA-based s...

引用

作者： Liu, W.P. Shang, Y.F. Yang, X. Deklerck, R. Cornelis, J. Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Dong Chuan Rd. 800 Shang Hai China Department of Electronics and Informatics Vrije Universiteit Brussel Brussel Belgium Institute of Broad Band Technology Gaston Crommenlaan Gent Belgium

An effective shape deformation method derived from a PCA-based statistical shape model (SSM) using the Golden Section Search (GSS) method is presented. The PCA-based SSM has proved to be a simple and effective method in model based segmentation and has been used in medical image analysis for soft tissue extraction. The gradient descent method is widely applied to search the optimal values for the transformation and deformation parameters to fit the model to specific image features. We use Golden Section Search instead, yielding some conceptual advantages, and experimentally illustrated good performance as well as lower execution times compared to gradient descent methods. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Sampling step importance in hierarchical semantic segmentation of microscopic images

Sampling step importance in hierarchical semantic segmentati...

引用

International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Cristian Smochina Vasile Manta Walter Kropatsch Department of Computer Science and Engineering Gheorghe Asachi Technical University of Iasi Romania Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Vienna University of Technology Austria

The objective of semantic segmentation in microscopic images is to extract the cellular, nuclear or tissue components. This problem is challenging due to the large variations of these components features (size, shape, orientation or texture). In this paper we improve the technique presented in [17] used to identify the epithelial nuclei (crypt) against interstitial nuclei in microscopic images taken from colon tissues. In the proposed enhanced approach, the crypt inner boundary is detected using the closing morphological pyramid instead of morphological hierarchy. The outer crypt border is determined by the epithelial nuclei, overlapped by the maximal isoline of the inner boundary. The use of sampling in building the pyramid offers computational efficiency, reduces the amount of used memory, increase the robustness and preserve the quality results. An analysis of the two approaches is performed considering the number of pixels processed to create each level. Also the relation between the levels of the hierarchical structures is established.

关键词： Cryptography image segmentation image reconstruction image resolution Microscopy Buildings Shape

来源：评论

学校读者我要写书评

暂无评论

Soft subspace clustering with competitive agglomeration

Soft subspace clustering with competitive agglomeration

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Lin Zhu Longbing Cao Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Faculty of Engineering and IT QCIS Sydney University of Technology Sydney Australia

In this paper, two novel soft subspace clustering algorithms, namely fuzzy weighting subspace clustering with competitive agglomeration (FWSCA) and entropy weighting subspace clustering with competitive agglomeration (EWSCA), are proposed to overcome the problems of the unknown number of clusters and the initialization of prototypes for soft subspace clustering. The main advantage of FWSCA and EWSCA lies in the fact that they effectively integrate the merits of soft subspace clustering and the good properties of fuzzy clustering with competitive agglomeration. This makes it possible to obtain the appropriate number of clusters during the clustering progress. Moreover, FWSCA and EWSCA algorithms can converge regardless of the initial number of clusters and initialization. Substantial experimental results on both synthetic and real data sets demonstrate the effectiveness of FWSCA and EWSCA in addressing the two problems.

关键词： Clustering algorithms Entropy Partitioning algorithms Equations Prototypes Electronic mail Indexes

来源：评论

学校读者我要写书评

暂无评论

Improved coherence-enhancing diffusion with hybrid diffusion tensor

Improved coherence-enhancing diffusion with hybrid diffusion...

引用

International Conference on Multimedia technology

作者： Xiaoguang Chen Xiaolan Du Zhongnan Lv Institute of Image Processing and Pattern Recognition North-China University of Technology Beijing China Center of Computer and Network Management North-China University of Technology Beijing China

Coherence-enhancing diffusion (CED), based on analysis of oriented structures, has been extensively used in image processing. This diffusion filtering can keep some junctions and close broken linear structures, but it also destroys crease points and deforms nonlinear structures. In this paper, we proposed an improved algorithm for CED based on analysis of structure tensor and Hessian matrix. This approach can not only denoise and enhance linear structures such as edges, but also preserve nonlinear structures such as creases. Experiments with fingerprint image show that the improved CED outperforms classical CED.

关键词： Tensile stress image edge detection Junctions Fingerprint recognition Algorithm design and analysis Coherence Filtering

来源：评论

学校读者我要写书评

暂无评论

An effective document image deblurring algorithm

An effective document image deblurring algorithm

引用

Conference on Computer Vision and pattern recognition (CVPR)

作者： Xiaogang Chen Xiangjian He Jie Yang Qiang Wu Key Laboratory of System Control and Information Processing Ministry of Education China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Centre of Innovation in IT Services and Applications University of Technology Sydney Australia

Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images. Traditional deblurring algorithms have been proposed to work for natural-scene images. However the natural-scene images are not consistent with document images. In this paper, the distinct characteristics of document images are investigated. We propose a content-aware prior for document image deblurring. It is based on document image foreground segmentation. Besides, an upper-bound constraint combined with total variation based method is proposed to suppress the rings in the deblurred image. Comparing with the traditional general purpose deblurring methods, the proposed deblurring algorithm can produce more pleasing results on document images. Encouraging experimental results demonstrate the efficacy of the proposed method.

关键词： image restoration Histograms TV Object segmentation Deconvolution Estimation image segmentation

来源：评论

学校读者我要写书评

暂无评论

A global method for reducing multidimensional size graphs

引用

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2011年 6658 LNCS卷 1-11页

作者： Cerri, Andrea Frosini, Patrizio Kropatsch, Walter G. Landi, Claudia Vienna University of Technology Faculty of Informatics Pattern Recognition and Image Processing Group Austria Università di Bologna ARCES Dipartimento di Matematica Italy Università di Modena e Reggio Emilia Dipartimento di Scienze e Metodi dell'Ingegneria Italy

ISBN: (纸本)9783642208430

This paper introduces the concept of discrete multidimensional size function, a mathematical tool studying the so-called size graphs. These graphs constitutes an ingredient of Size Theory, a geometrical/topological approach to shape analysis and comparison. A global method for reducing size graphs is presented, together with a theorem stating that size graphs reduced in such a way preserve all the information in terms of multidimensional size functions. This approach can lead to simplify the effective computation of discrete multidimensional size functions, as shown by examples. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Graphic methods

来源：评论

学校读者我要写书评

暂无评论

Multi-temporal Satellite images Change Detection Algorithm Based on NSCT

引用

Procedia Engineering 2011年 24卷 252-256页

作者： Wei Cui Zhenhong Jia Xizhong Qin Jie Yang Yingjie Hu College of Information Science and Engineering Xinjiang University Urumqi 830046 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland 1020 New Zealand

In order to get the change detection *** unsupervised change detection algorithm for multi-temporal satellite image based on NSCT (non-subsampling contourlet transform) and k-means clustering is proposed in this paper. For each pixel in the log-ratio image, multi-scale and multi-direction feature vector is extracted by NSCT and the reconstruction of the log-ratio image is obtained. The threshold is produced by using the k-means clustering algorithm and can distinguish between the unchanged and the change region. Finally, the change detection map is achieved. Some satellite images are used to verify the proposed method and the results shows that it has a higher stability and accuracy against Gaussian and speckle noise than traditional algorithms.

关键词： NSCT k-means clustering multi-temporal satellite images change detection

来源：评论

学校读者我要写书评

暂无评论

NSCT Remote Sensing image Denoising Based on Threshold of Free Distributed FDR

引用

Procedia Engineering 2011年 24卷 616-620页

作者： Jihong Liu Zhenhong Jia Xizhong Qin Jie Yang Yingjie Hu College of Information Science and Engineering Xinjiang University Urumuqi 830046 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland 1020 New Zealand

A new method for image denoising based on the free distributed hypothesis test threshold (FDR) and the non-sub-sampled contourlet transform(NSCT) is proposed in this paper. This method firstly acquires the free distributed false discovery rate hypotheses test in statistics to set the threshold in the NSCT domain, and then removes the noise through soft threshold function, which doesn’t depend on the length of signal. The experimental results show that the proposed method can more effectively reduce Gaussian noise and improve the peak value signal-to-noise ratio in the remote sensing image; Meanwhile, this method utilizes the shift invariant of NSCT transform to inhibit the pseudo Gibbs distortion effect, and integrally preserves the texture and edge etc.. details’ information of the image, thus obviously ameliorate the visual effect of the image.

关键词： image denoising False Discovery Rate Non-subsmapled contourlet transform Soft threshold Shift invariance

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：