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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Qiong Xu Xuanqin Mou Institute of Image Processing and Pattern Recognition Xi' an Jiaotong University Xi'an Shaanxi China

Interior tomography is to reconstruct the interior region of interest (ROI) from the projection data just across the ROI. One kind of interior reconstruction methods is based on the inversion of truncated Hilbert transform (THT) when there is a known sub-region inside ROI. However, the result via this method is usually to be degraded by noise in real data case. In this paper, we propose to incorporate the total variation (TV) minimization constraint into the THT-based interior tomography to improve the reconstruction quality. Therein, we first carry out projection-on-convex-sets (POCS) iteration on each chord, and then we perform a soft-threshold based TV minimization on the intermediate image. In order to validate the proposed method, we conduct both simulated and real data experiments. The results show that with TV constraint the proposed method can lead to better ROI with less noise.

关键词： TV image reconstruction Minimization Transforms Noise Computed tomography

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Optimization of Level Set Segmentation with Nonlinear Coherent Diffusion

Optimization of Level Set Segmentation with Nonlinear Cohere...

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2013 2nd International Symposium on Materials Science and Engineering Technology(ISMSET 2013)

作者： Yonghui Gao Shengzheng Wang Jie Yang Institute of Image Processing and Pattern Recognition University of Shanghai Jiaotong University of Shanghai Maritime

Level set method is convenient in image segmentation for the stabilization and *** filter is usually taken as a preprocess to reduce the influence of weak edges due to noises,but the disadvantage is obvious:blur fine structures specially the important boundaries and lead to inaccurate segmentation *** paper introduces a robust method which filters the images with a Nonlinear Coherent Diffusion(NCD) to accelerate the evolution of level set in a spatially varying *** results show the performance of the proposed method in improving precision of segmentation.

关键词： Segmentation Nonlinear coherent diffusion(NCD) Level set Speed function.

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Region Merging Based Segmentation with Cellular Automaton

Region Merging Based Segmentation with Cellular Automaton

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2013 International Conference on Mechatronics,Applied Mechanics and Energy Engineering(MAMEE 2013)

作者： Yonghui Gao Shengzheng Wang Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai Maritime University

Since fully automatic image segmentation on natural images is usually hard to provide guaranteed results, interactive scheme with a few simple user inputs becomes a good alternative. This paper presents a novel interactive method based on regional attacking and merging mechanism within a cellular automaton(CA) framework. With an attacking rule based on regions maximal similarity, the adjacent homogeneous regions that are initialized by pre-segmentation are automatically merged and labeled, the users only need to indicate the object and background regions with rough markers. The whole process needn't set any similarity threshold in advance and the desired contours are effectively extracted by labeling all the non-marker regions as either background or object. Extensive experiments are performed and the results show that the proposed scheme can reliably extract the object contours from the complex background.

关键词： Cellular automaton Attacking rule Interactive segmentation Region merging Region similarity

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ROAD SIGN DETECTION BASED ON VISUAL SALIENCY AND SHAPE ANALYSIS

ROAD SIGN DETECTION BASED ON VISUAL SALIENCY AND SHAPE ANALY...

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IEEE International Conference on image processing

作者： Tao Zhang Jingqin Lv Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)9781479923427

Road sign detection plays an important role in driver assistance system. However, it faces problems of high computational cost and low contrast in video sequences. In this paper, we propose a two-level hierarchical algorithm which addresses these problems by making better use of the color and shape information of road signs. In order to solve the problem of low image contrast, we propose to improve the color contrast using our algorithm based on visual saliency. In order to reduce the high computational cost, an improved radial symmetry transform (IRST) is developed for grouping feature points on the basis of their underlying symmetry in an image. Experimental results show that our methods are robust to a broad range of lighting conditions and efficient enough for real-time applications.

关键词： Road sign detection Shape analysis Visual saliency Improved radial symmetry transform (IRST) shape analysis Color Contrast Visualization Driver Assistance Systems guide board Feature Points shape information real-time application program symmetry transformation

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Sequential maximum likelihood ratio test for fault diagnosis based on multi-sensor particle weight optimization

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Guangdianzi Jiguang/Journal of Optoelectronics Laser 2013年第8期24卷 1549-1556页

作者： Hu, Zhen-Tao Fu, Chun-Ling Liu, Yu Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475004 China Basic Experiment Teaching Center Henan University Kaifeng 475004 China

Aiming at the nonlinear system fault diagnosis in multi-sensor observations, a novel sequential maximum likelihood ratio test for fault diagnosis based on multi-sensor particle weight optimization is proposed. Firstly, to improve the adverse effects on the stability of particle weight measurement caused by random noise, the particle weight optimization strategy is designed by multi-source information fusion technology to fully extract and exploit the redundancy and complementary information from multi-sensor observations. Its implementation principle is to improve the reliability and stability of particle weight by the decline of particle weight variance, and to promote the estimation precision. Secondly, combined with the sequential probability ratio test and the interacting multi-model, a novel online sequential maximum likelihood ratio method based on residual test is presented. In addition, considering the decline of computation complexity in the combination process of particle filter and interacting multi-model, the input interaction step and the output step are reasonably simplified in the construction of algorithm. The theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm.

关键词： Failure analysis

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Biometric information hiding: Promoting multimedia security with content and identity authentication

Biometric information hiding: Promoting multimedia security ...

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2013 IEEE China Summit and International Conference on Signal and Information processing, ChinaSIP 2013

作者： Ma, Bin Li, Chunlei Zhang, Zhaoxiang Wang, Yunhong Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing China School of Electronic and Information Engineering Zhongyuan University of Technology Zhengzhou China

ISBN: (纸本)9781479910434

Biometrics and information hiding, as two different yet promising techniques for individual identification and digital media protection, have been extensively studied in the latest decade. Recently, hybrid approaches that combine these two techniques (i.e., biometric information hiding) for advanced information security have obtained increasing research interest. The principle idea is applying information hiding as data anti-counterfeit tool for secure biometric authentication, or introducing biometrics as identity token to information hiding applications such as: owner identification, traitor tracing. In this paper, we present a brief classification of existing biometric information hiding approaches and discuss the corresponding emerged requirements. Meanwhile, two typical application cases proposed in our previous work, which adopted face and fingerprint as watermarks respectively are further discussed and analysed. © 2013 IEEE.

关键词： Biometrics

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SUBREGION BASED LOCAL DESCRIPTOR

SUBREGION BASED LOCAL DESCRIPTOR

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IEEE International Conference on image processing

作者： Xiaojie Dong Erqi Liu Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Aerospace Science & Industry Corp

ISBN: (纸本)9781479923427

A novel distinctive descriptor named MSOGH is proposed, which is able to well represent the interest region and is robust to photometric transformations and geometric transformations. According to intensity order, subregions are firstly constructed. Then feature descriptor of the subregion is computed by point permutation of the sample points in each subregion. Finally, feature descriptor of the region is formed by concatenating all subregion feature descriptors. The discriminative power of the proposed descriptor is compared with 5 major existing region descriptors (MROGH, SIFT, GLOH, PCA-SIFT and spin images). Extensive experimental results show that the proposed descriptor achieves better performance than state-of-the-art descriptors.

关键词： Local Descriptor image Matching Performance Evaluation Subregion subregion image matching Descriptors Performance Evaluation Subject Headings

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Robust adaptive beamforming method based on interference-plus-noise covariance matrix

Robust adaptive beamforming method based on interference-plu...

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2013 IEEE International Conference on Signal processing, Communications and Computing, ICSPCC 2013

作者： Hou, Yunshan Xue, Lin Jin, Yong College of Electronics and Information Engineering Henan University of Science and Technology Luoyang 471023 China College of Mathematics Luoyang Normal University Luoyang 471022 China Institute of Image Processing and Pattern Recognition Henan University KaiFeng 475000 China

ISBN: (纸本)9781479910274

In order to improve the performance of adaptive beamforming, this paper proposes a robust adaptive beamforming algorithm. In this algorithm, first the signal-free interference-plus-noise covariance matrix is reconstructed using MUSIC spatial spectrum as the power density distribution, then the optimization problem of estimating the desired signal steering vector is formulated by maximizing the array output power and adopting spherical set constraint, next the Lagrange multiplier method is employed to yield the computing formula of the optimal steering vector of desired signal. Simulation results demonstrate that the performance of proposed adaptive beamformer is almost always close to optimal in a very large range of signal-to-noise ratio(SNR), outperforming existing adaptive beamformers. © 2013 IEEE.

关键词： Signal to noise ratio

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Multi-feature bio-inspired model for scene classification

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Applied Mechanics and Materials 2013年 303-306卷 1569-1572页

作者： Hu, De-Kun Lin, Jie College of Information Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province 610106 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9783037856529

A multi-feature bio-inspired model for scene image classification (MFBIM) is presented in this work;it extends the hierarchical feedforward model of the visual cortex. Firstly, each of three paths of classification uses each image property (i.e. shape, edge or color based features) independently. Then, BPNN assigns the category of an image based on the previous outputs. Experiments show that the model boosts the classification accuracy over the shape based model. Meanwhile, the proposed approach achieves a high accuracy comparable to other reported methods on publicly available color image dataset. © (2013) Trans Tech Publications, Switzerland.

关键词： Computer vision

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LPQ based static and dynamic modeling of facial expressions in 3D videos

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2012 International Conference on Service-Oriented Computing, ICSOC 2012

作者： Zhen, Qingkai Huang, Di Wang, Yunhong Chen, Liming Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing China Ecole Centrale de Lyon LIRIS UMR5205 F-69134 Lyon France

ISBN: (纸本)9783319029603

Automatic Facial Expression recognition (FER) is one of the most active topics in the domain of computer vision and pattern recognition. In this paper, we focus on discrete facial expression recognition by using 4D data (i.e. 3D range image sequences), and present a novel method to address such an issue. The Local Phase Quantisation from Three Orthogonal Planes (LPQ-TOP) descriptor is applied to extract both the static and dynamic clues conveyed in facial expressions. On the one hand, it locally captures the shape attributes in each 3D face model (facial range image). On the other hand, it detects the latent temporal information and represents dynamic changes occurred in facial muscle actions. The SVM classifier is finally used to predict the expression type. The experiments are carried out on the BU-4DFE database, and the achieved results demonstrate the effectiveness of the proposed method. © Springer International Publishing 2013.

关键词： Face recognition

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