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International Conference on pattern recognition

作者： Shoushui Chen Xin Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

Anisotropic diffusion can remove noise to some extent in image processing. However the contradiction between diffusion and preservation still exists. In this paper, a new nonlinear diffusion model for image noise removal and feature preservation is presented. This model treats inhomogeneity region and image feature adaptively by discontinuity measure and local gradient information. A well balance between diffusion and preservation is also made in this new diffusion method. Experiments results show that the proposed method has high performance compared to other literature methods and is an ideal edge-preserving filtering method. In addition, we use block-based noise estimation to estimate deviation in diffusion equation

关键词： Equations Additive noise Smoothing methods image processing pattern recognition Filtering Low pass filters Anisotropic magnetoresistance Pollution measurement Noise reduction

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Blind bilevel image restoration using Hopfield neural networks

Blind bilevel image restoration using Hopfield neural networ...

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International Conference on Neural Networks

作者： H.-J. Liu Y. Sun Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

A Hopfield neural network approach to blind bilevel image restoration is presented. In the approach, two kinds of Hopfield neural networks are used. One is the analog Hopfield neural network, utilized to estimate the parameters of the finite point spread function (PSF) of a blurring system. The other one is the modified Hopfield neural network used to restore bilevel image. The entire model is based on the alternative operation of the two networks. In the modified Hopfield neural network, the eliminating highest error (EHE) criterion is applied for the purpose of obtaining a more precise solution. Simulation results show that, after a few iterations, the model always obtains a bilevel image whose quality is almost the same as, or even better than, what is obtained by the modified Hopfield network when the precise parameters of PSF are used. The results are quite good. If the EHF criterion is not used, the model does not achieve a good bi-level image.< >

关键词： image restoration Hopfield neural networks Parameter estimation Degradation Convolution Sun image processing pattern recognition Neural networks Mathematics

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RGB-D saliency detection via mutual guided manifold ranking

RGB-D saliency detection via mutual guided manifold ranking

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IEEE International Conference on image processing

作者： Haoyang Xue Yun Gu Yijun Li Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China

Visual saliency detection has gained its popularity in computer vision in recent years. Depth information is proven as a fundamental element of human vision while it is underutilized in existing saliency detection approaches. In this paper, an effective visual object saliency detection model via RGB and depth cues mutual guided manifold ranking is proposed. The depth features are extracted to guide the saliency ranking of RGB image while the RGB saliency is used as the guide of depth map ranking as well. We obtain the final result by fusing the RGB and depth saliency maps. The experimental result on a benchmark dataset which contains 1000 RGB-D images demonstrates the effectiveness and superior performance compared with several state-of-art methods.

关键词： Feature extraction image color analysis Manifolds Visualization Shape image segmentation Weight measurement

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The Del /sup 2/G performance in the presence of noise

The Del /sup 2/G performance in the presence of noise

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International Conference on pattern recognition

作者： Xie Zhaohui Wu Lide Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0818608781

The Laplacian of Gaussian operator, Del /sup 2/G, is very important as an edge detector in the theory of computer vision. The bias of zero-crossing and output signal-to-noise-ratio of Del /sup 2/G under the models of four typical kinds of edges corrupted by white noise are given, and these theoretical results are confirmed by experiments. The relations among bias of zero-crossing, output and input signal-to-noise-ratio and parameter sigma of Del /sup 2/G are presented.< >

关键词： Detectors Filtering White noise Proposals Performance analysis image edge detection Pulse shaping methods Kernel Shape

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Classification Fusion in Wireless Sensor Networks

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自动化学报 2006年第6期32卷 947-955页

作者： LIU Chun-Ting HUO Hong FANG Tao LI De-Ren SHEN Xiao Institute of Image Processing ＆ Pattern Recognition Shanghai Jiaotong University Shanghai 200240 State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079

In wireless sensor networks, target classification differs from that in centralized sensing systems because of the distributed detection, wireless communication and limited resources. We study the classification problem of moving vehicles in wireless sensor networks using acoustic signals emitted from vehicles. Three algorithms including wavelet decomposition, weighted k-nearest-neighbor and Dempster-Shafer theory are combined in this paper. Finally, we use real world experimental data to validate the classification methods. The result shows that wavelet based feature extraction method can extract stable features from acoustic signals. By fusion with Dempster's rule, the classification performance is improved.

关键词： Wireless sensor networks classification fusion wavelet decomposition weighted k-nearest-neighbor Dempster-Shafer theory

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Probability evolutionary algorithm for functional and combinatorial optimization

Probability evolutionary algorithm for functional and combin...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Shuhan Shen Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

A novel evolutionary algorithm called probability evolutionary algorithm (PEA) is proposed, which is inspired by the quantum computation and quantum-inspired evolutionary algorithm (QEA). The individual in PEA is encoded by a probabilistic superposed bit which can represent a linear superposition of the states 0 to k (k ges 1). The observing step is used in PEA to obtain the observed individual, and the update method is used to evolve the population. The function optimization and 0-k knapsack problem experiments show that PEA has apparent superior in application area, searching capability and computation time compared with QEA and canonical genetic algorithm (CGA).

关键词： Probabilistic logic Evolutionary computation Optimization Quantum computing Encoding Genetic algorithms Convergence

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Computer aided reconstruction and motion analysis of 3D mitral annulus 1

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4th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2007

作者： Lei, Zhu Xin, Yang Liping, Yao Kun, Sun Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Shanghai Children's Medical Center Attached to Shanghai Jiao Tong University Shanghai 200092 China

ISBN: (数字)9783540729075

ISBN: (纸本)3540729062

A computer aided reconstruction and motion analysis method of mitral annulus is presented in this paper. To begin with, the boundary points on mitral annulus are marked by doctors interactively. Since these points are not distributed uniformly and sequentially, secondly, it is necessary to re-arrange these points into a set of series points on a contour, the saddle-shaped mitral annulus. Thirdly, in order to analyze 3D mitral annulus motion, the mitral annulus is modeled by 3D non-uniform rational B-spline (NURBS). Fourthly, the dynamic parameters of the mitral annulus throughout the cardiac cycle are computed in a 3D Cartesian coordinate system. The experiments prove that the dynamic mitral annulus reconstruction and analysis program using computer aided method is provided a possible and convenient tool to diagnose and analyze the malfunction of mitral annulus. © Springer-Verlag berlin Heidelberg 2007.

关键词： Echocardiography

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Content-based image quality assessment of natural scene image distorted by quantization

Content-based image quality assessment of natural scene imag...

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IEEE Visual Communications and image processing (VCIP)

作者： Tao Luo Chao Wang Xuanqin Mou Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an China

In this paper, the subjective image quality for different image content is investigated by psychophysical experiments. The experimental images are the parts from natural scenes distorted by integer transform and quantization in H.264 frame. These images are divided into two types based on the scene content, type I and type II. The perceived thresholds and subjective graded scores for different quantization are obtained using forced choice staircase experiments and graded response experiments, respectively. The subjective assessment results showed that the image quality of type I degrades much more than the type II when quantization steps increase, and the preliminary experiment showed that the existed IQA metric, i.e. SSIM, could not predict it well. We also present a content-based image classifier to predict the two image types. The results show good accordance between the classifier and the subjective assessment.

关键词： Quantization image quality Measurement image edge detection Transforms Histograms image coding

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A Modified Greedy Distance Routing Algorithm for Wireless Sensor Networks

A Modified Greedy Distance Routing Algorithm for Wireless Se...

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China-Japan Joint Microwave Conference

作者： Q. Q. Shi H. Huo T. Fang D. R. Li Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424438211

Geographic routing protocols for wireless sensor networks (WSNs) have received more attentions in recent years and greedy forwarding algorithm is a main component in geographic routing. In this paper, we investigate the forwarding criterions in greedy forwarding algorithms and present a greedy routing algorithm using a new criterion combining the characteristics of both distance-based criterion and direction-based criterion. Simulation is provided to compare the performance of our algorithm with those of the algorithm with distance-based criterion and the algorithm with direction-based criterion. The results show that our proposed algorithm is a preferred option in terms of the trade-off between transformation delay and energy consumption in the routing.

关键词： Wireless sensor networks Routing protocols image processing pattern recognition Euclidean distance Joining processes Delay Energy consumption Network topology Computer architecture

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Multisensor aerial image registration using direct histogram specification

Multisensor aerial image registration using direct histogram...

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IEEE International Conference on Networking, Sensing and Control

作者： Hongya Tuo Lin Zhang Yuncai Liu Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

Multisensor image registration is a difficult problem. In this paper, we give a new registration method using direct histogram specification technique. We find that after using histogram specification, the resulting images with the same view look more similar, though the original images gained by different sensors differ much in intensity. Based on this property, a novel approach to find matching block pairs is proposed. The centers of the block pairs are used as control points (cps). We also use the cluster method of the nearest function criterion to test the correctness of the cps and discard wrong ones. The algorithm has been tested by many aerial images of different sensors. The effectiveness is illustrated by the experimental results.

关键词： image registration Histograms image sensors pattern recognition Remote sensing image processing Satellites Testing Feature extraction Sensor phenomena and characterization

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