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International Conference on Computer Science and Network Technology (ICCSNT)

作者： Hui Chen Jingqi Yan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781479905607

In this paper, we describe a novel 3D shape retrieval method based on new features. The features are extracted for 3D points based on a 2D attribute space which consists of two bidirectional 3D shape attributes, one of which along the shape surface direction and the other along the shape content direction perpendicular to the former. We define this features as Point Bidirectional Features (PBFs), which can reflect not only the global shape but also the local content. For simplicity, we choose the geodesic distance (GD) and the shape diameter function (SDF) to construct PBFs. Given a database of 3D shapes and a query shape, the proposed retrieval method adopts a shape similarity measurement based on 3D points matching with PBFs to decide which is the most similar shape from the database. To reduce cost of computation and feature storage, a shape simplification algorithm is integrated into this method. Additionally, a simple but effective point correspondence mechanism with K-Nearest Neighbor (KNN) assignment is designed for this retrieval method. Experimental results demonstrate the effectiveness of the proposed features and method.

关键词： Shape Three-dimensional displays Histograms Solid modeling Computational modeling Feature extraction Databases

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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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Shadow detection using regression tree fields with paired regions

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Journal of Computational Information Systems 2013年第11期9卷 4309-4317页

作者： Tao, Wei Zhou, Yue Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai 200240 China

In this paper, we try to deal with the problem of shadow detection from static images and video sequences. In instead to considering individual regions separately, we use relative illumination conditions between segmented regions and perform pair-wise classification based on such information. We use Regression Tree Fields to solve the labeling of shadow and non-shadow regions. And we use continuous value to describe the possibility of the shadow of the region. We evaluate our method on static images and a series of video sequences. © 2013 by Binary Information Press.

关键词： Classification (of information)

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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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Dynamic monitoring technique for remote-sensing image of invasive alien plant species

Dynamic monitoring technique for remote-sensing image of inv...

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2013 International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2013

作者： Hesen, Rabigul Jia, Zhenhong Yang, Jie Hu, Raphael 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

ISBN: (纸本)9783642419072

Invasive Alien Plant Species (IAPS) could seriously affect the local ecosystem balance, and pose a threat to the ecological security. In order to effectively monitor and control invasive alien plants, it needs to monitor the spatial distribution and dynamic changes of IAPS. It will cite the method of nonsubsampled contourlet transform (NSCT) combination with fuzzy C-means clustering algorithm in this paper, which is used in remote sensing image change detection, for monitoring the dynamic changes of biological invasive species in this paper, to get a better detection result. © Springer-Verlag Berlin Heidelberg 2013.

关键词： image enhancement

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AN ACTIVE CONTOUR MODEL BASED ON MULTIPLE BOUNDARY MEASURES

AN ACTIVE CONTOUR MODEL BASED ON MULTIPLE BOUNDARY MEASURES

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IEEE International Conference on image processing

作者： Yu Qiao Lei Zhou Jie Yang Yonghui Gao The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University

ISBN: (纸本)9781479923427

Weak boundary contrast, inhomogeneous background and overlapped intensity distributions of the object and background are main causes that may lead to failure of boundary detection for many traditional active contour methods. In this paper, we propose a region-based active contour model to address these problems in both local and global ways. A localized active contour framework is developed, in which two local boundary measures are introduced for the evolution of the level set function. These measures are used to select the boundary candidates for boundary preservation such that the evolution of the contour is guided in a reasonable way. The object boundary is determined by a global boundary measure which evaluates the boundary completeness during the entire evolution process. The experiments demonstrate that our method works well against weak boundary contrast, inhomogeneous background and overlapped intensity distributions.

关键词： Region-based active contour model Level set method Local boundary measures Boundary preservation Global boundary measure contour Boundary boundary layer set method boundary contrast Comet Nucleus Tour Edge detection evolution evolution evolution intensity distribution

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Novel change detection method based on direction feature and fuzzy clustering for remote sensing images and its application in biological invasions

Novel change detection method based on direction feature and...

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2013 International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2013

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

ISBN: (纸本)9783642419072

Change detection techniques attempt to be used for remote sensing monitoring of invasive plants. A novel change detection method based on direction feature and RFLICM (an improved fuzzy C-means clustering) is proposed. Firstly, the difference image is acquired from multitemporal images. The pixel values of the difference image are updated using the template of directional neighborhood based on direction feature. The final change detection map is achieved by clustering the pixel values of the difference image using RFLICM algorithm into two disjoint classes: changed and unchanged. The results obtained by experiment are compared with some other existing state of the art methods. It is observed that the proposed method outperforms the other methods. Finally, the proposed change detection technique is applied to remote sensing monitoring of invasive plants. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Change detection

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