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International Conference on Wavelet Active Media Technology and Information processing (ICWAMTIP)

作者： Jing Li Xin Yang Li Ping Yao Kun Sun Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Xinhua Hospital Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781479972098

This paper discusses centerline extraction algorithms for virtual cardiovascular endoscopy system. A fully automatic extraction method is proposed which is significantly enhanced from current distance mapping method. The new approach consists of four steps: preprocessing; construction of improved Distance From Boundary field; centerline extraction; mean value smoothing of centerline. Based on the proposed automatic approach, an interactive extraction method is presented in which a centerline connects specified points selected by cardiologists. This interactive approach makes the viewport closer to pathological changes in the aorta and human heart, so cardiologists can observe focuses more clearly. The two algorithms have been applied to the virtual cardiovascular endoscopy system, and the experiments prove that our methods work well in the process of auxiliary diagnosis.

关键词： Endoscopes Heart Navigation Computed tomography Biomedical imaging Smoothing methods Cavity resonators

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Topological image Analysis and (Normalised) Representations for Plant Phenotyping

Topological Image Analysis and (Normalised) Representations ...

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International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

作者： Ines Janusch Walter G. Kropatsch Wolfgang Busch Pattern Recognition and Image Processing Group Vienna University of Technology Vienna Austria Gregor Mendel Institute of Molecular Plant Biology Austrian Academy of Sciences Vienna Austria

This paper discusses the use of topological image analysis to derive characteristics needed in plant phenotyping. Due to certain features of root systems (deformation over time, overlaps of branches in a 2D image of the root system) a topological analysis is needed to correctly derive these characteristics. The advantages of such a topological analysis are highlighted in this paper and root phenotyping is presented as a new application for computational topology. Characteristics used in plant phenotyping that can be derived from root images using methods of topological image analysis are further presented. A Reeb graph based representation of root images is shown as an example for such a topological analysis. Based on a graph representation a new, normalised representation of root images is introduced.

关键词： image segmentation Level measurement Topology Length measurement Skeleton image analysis Soil

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Analysis of the Pencil of Conics with Double Complex Contact and Its Application to Camera Calibration

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Journal of Shanghai Jiaotong university(Science) 2013年第1期18卷 1-6页

作者：蔡琴王宸昊阎炎刘允才 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Information and Communication Technology Department University of Trento

In this paper, we introduce a novel class of coplanar conics, the pencil of which can doubly contact to calibrate camera and estimate pose. We first analyze the properties of con-axes and con-eccentricity ellipses, which consist of a naturM extending pattern of concentric circles. Then the general case that two ellipses have two repeated complex intersection points is presented. This degenerate configuration results in a one-parameter family of homographies which map the planar pattern to its image. Although it is unable to compute the complete homography, an indirect 3-degree polynomial or 5-degree polynomial constraint on intrinsic parameters from one image can also be used for camera calibration and pose estimation under the minimal conditions. Furthermore, this nonlinear problem can be treated as a polynomial optimization problem （POP） and the global optimization solution can be also obtained by using SparsePOP （a sparse semidefinite programming relaxation of POPs）, Finally, the experiments with simulated data and real images are shown to verify the correctness and robustness of the proposed technique.

关键词： camera calibration homography con-axes and con-eccentricity ellipse concentric circle polynomial optimization problem （POP）

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Computer-aided 3D reconstruction and implant planning of auricular prosthesis

Computer-aided 3D reconstruction and implant planning of aur...

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2014年上海市研究生学术论坛:生物医疗仪器

作者： Shuang.Li Chunlong.Fang Liuyao.Duan Yuanliang.Huang Lisheng.Wang Institute of Image Processing and Pattern Recognition Department of AutomationShanghai Jiaotong UniversityShanghaiChina Department of dentistryShanghai East Hospital affiliated to Tongji UniversityShanghai 200210China

Auricular-prosthesis-based techniques have been developed for years to repair ears with *** order to obtain good aesthetics and functional effects of the auricular prosthesis,the following two steps are necessary: generate a suitable 3D model of the auricular prosthesis and implant the auricular prosthesis on the patient's ***,there may exist some problems in the current methods,generation of an auricular prosthesis might be costly,imprecise,and ***,clinical physicians usually make a preoperative surgery planning just based on their observation on the series of 2D X-ray images or CT images,which increase the uncertainty of the *** consideration of the limitations in the existing techniques,we develop a computer-aided ear-repairing system to solve these *** mainly contains two parts: 3D reconstruction of auricular prosthesis model and preoperative surgery planning for implanting the auricular ***,the system provides an interactive technique to reconstruct a good 3D model of auricular prosthesis from the patient's CT *** to the model,a high-quality auricular prosthesis can be fabricated by the CAD/CAM technique or 3D print ***,through this system,preoperative surgery planning of implanting can be done and the implanting result can be *** the surgery planning,the surgeon can implant an auricular prosthesis on the patient's skull stably and *** results show that the proposed system can improve the accuracy,safety and intuition of the surgical planning and enhance the functional and aesthetics effects of auricular prosthesis.

关键词： CT imaging auricular prosthesis 3D reconstruction implant surgery planning

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A robust CPD approach based on shape context

A robust CPD approach based on shape context

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Chinese Control Conference (CCC)

作者： Yawen Yang Zhang Peng Peng Yu Qiao Jie Yang Sheng Zheng Wang The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai CN Merchant Marine College Shanghai Maritime University Shanghai CN

Point matching is an important component of image registration. Recent years, Coherent Point Drift (CPD) method becomes a very popular point matching approach. CPD treats point matching as a probability estimation problem and speeds up the process of matching a lot. In this method, one set of points are thought to be sampled from a Gaussian Mixture Model (GMM), which is centered by the other set of points. However, CPD is sensitive to outliers and noises, especially when the noise ratio increased or the number of outliers gets much high. To deal with this problem, we introduce shape context into the step of searching for matching points and then improve the form of prior probabilities of GMM in this paper. The main idea of our method is that if the most points in a data set are likely to be matched to a particular centroid, this Gaussian component should be have a more influence to GMM. Therefore, we set prior probability of GMM with the similarity between GMM components and the data set. And the computation of similarity is based on shape context. The experiments on 2D and 3D images show that when noise ratio is low, our method performs as well as CPD does, but as the ratio increased, our method is more robust and satisfactory than CPD.

关键词： Noise Shape Testing Context Robustness Three-dimensional displays Marine animals

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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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Spectral salient object detection

Spectral salient object detection

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Keren Fu Chen Gong Irene Y. H. Gu Jie Yang Xiangjian He Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Faculty of Engineering University of Technology Sydney Australia

Many existing methods for salient object detection are performed by over-segmenting images into non-overlapping regions, which facilitate local/global color statistics for saliency computation. In this paper, we propose a new approach: spectral salient object detection, which is benefited from selected attributes of normalized cut, enabling better retaining of holistic salient objects as comparing to conventionally employed pre-segmentation techniques. The proposed saliency detection method recursively bi-partitions regions that render the lowest cut cost in each iteration, resulting in binary spanning tree structure. Each segmented region is then evaluated under criterion that fit Gestalt laws and statistical prior. Final result is obtained by integrating multiple intermediate saliency maps. Experimental results on three benchmark datasets demonstrate the effectiveness of the proposed method against 13 state-of-the-art approaches to salient object detection.

关键词： image segmentation image color analysis Principal component analysis Object detection Visualization Educational institutions image edge detection

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Graph Construction for Salient Object Detection in Videos

Graph Construction for Salient Object Detection in Videos

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International Conference on pattern recognition

作者： Keren Fu Irene Y.H. Gu Yixiao Yun Chen Gong Jie Yang Shanghai Jiao Tong University Shanghai CN Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China

ISBN: (纸本)9781479952106

Recently many graph-based salient region/object detection methods have been developed. They are rather effective for still images. However, little attention has been paid to salient region detection in videos. This paper addresses salient region detection in videos. A unified approach towards graph construction for salient object detection in videos is proposed. The proposed method combines static appearance and motion cues to construct graph, enabling a direct extension of original graph-based salient region detection to video processing. To maintain coherence in both intra- and inter-frames, a spatial-temporal smoothing operation is proposed on a structured graph derived from consecutive frames. The effectiveness of the proposed method is tested and validated using seven videos from two video datasets.

关键词： Videos Smoothing methods Optical imaging Object detection Histograms Integrated optics Manifolds

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Foreground detection via motion field based MRF-MAP

Foreground detection via motion field based MRF-MAP

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4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013

作者： Zhu, Limin Zhou, Yue Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China

ISBN: (纸本)9783642420566

Foreground detection has always been of great concern in image processing field. This paper focused on detecting moving objects in videos taken by moving cameras. The segmentation result is produced by a MRF-MAP labeling method based on the motion field of optical flows. The main idea is based on the difference between foreground and background movement. Our method is evaluated on different videos to show its effectiveness. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Optical flows

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An efficient and scalable learning algorithm for Near-Earth objects detection in astronomy big image data

An efficient and scalable learning algorithm for Near-Earth ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Ke Wang Ping Guo School of computer Science and Technology Beijing Institute of Technology Beijing P.R. China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing P.R. China

ISBN: (纸本)9781479938414

In this paper, we investigate the efficiency and scalability of Gaussian mixture model based learning algorithm for the detection of Near-Earth objects in large scale astronomy image data. We propose an effective scheme to reduce the computational complexity of current learning algorithm, this is achieved by adopting the perceptual image hashing method. Our proposed scheme is validated on raw astronomy image data. The experiment results illustrate that both efficiency and scalability are improved significantly in astronomical scenario and other scenario.

关键词： Astronomy Scalability Big data Data mining Gaussian distribution Hamming distance Gaussian mixture model

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