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26th IEEE International Conference on image processing, ICIP 2019

作者： Ge, Chenjie Qu, Qixun Gu, Irene Yu-Hua Store Jakola, Asgeir Dept. of Electrical Engineering Chalmers University of Technology Sweden Inst. of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Sweden Inst. of Image Processing and Pattern Recognition Shanghai Jiao Tong University China

ISBN: (纸本)9781538662496

This paper addresses the issues of Alzheimer's disease (AD) characterization and detection from Magnetic Resonance images (MRIs). Many existing AD detection methods use single-scale feature learning from brain scans. In this paper, we propose a multiscale deep learning architecture for learning AD features. The main contributions of the paper include: (a) propose a novel 3D multiscale CNN architecture for the dedicated task of AD detection;(b) propose a feature fusion and enhancement strategy for multiscale features;(c) empirical study on the impact of several settings, including two dataset partitioning approaches, and the use of multiscale and feature enhancement. Experiments were conducted on an open ADNI dataset (1198 brain scans from 337 subjects), test results have shown the effectiveness of the proposed method with test accuracy of 93.53%, 87.24% (best, average) on subject-separated dataset, and 99.44%, 98.80% (best, average) on random brain scan-partitioned dataset. Comparison with eight existing methods has provided further support to the proposed method. © 2019 IEEE.

关键词： Feature extraction Three-dimensional displays Training Alzheimer's disease Magnetic resonance imaging Testing

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Multi-band image Registration Method Based on Fourier Transform

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Journal of Shanghai Jiaotong university(Science) 2004年第3期9卷 31-36页

作者：庹红娅刘允才 Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

This paper presented a registration method based on Fourier transform for multi-band images which is involved in translation and small rotation. Although different band images differ a lot in the intensity and features, they contain certain common information which we can exploit. A model was given that the multi-band images have linear correlations under the least-square sense. It is proved that the coefficients have no effect on the registration progress if two images have linear correlations. Finally, the steps of the registration method were proposed. The experiments show that the model is reasonable and the results are satisfying.

关键词： image registration Fourier transform linear correlation

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image Analysis Based on Edge Detection Techniques

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Journal of Shanghai Jiaotong University(Science) 2002年第2期E-7卷 198-203页

作者：纳瑟刘重庆 Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

A method that incorporates edge detection technique, Markov Random field (MRF), watershed segmentation and merging techniques was presented for performing image segmentation and edge detection tasks. It first applies edge detection technique to obtain a Difference In Strength (DIS) map. An initial segmented result is obtained based on K-means clustering technique and the minimum distance. Then the region process is modeled by MRF to obtain an image that contains different intensity regions. The gradient values are calculated and then the watershed technique is used. DIS calculation is used for each pixel to define all the edges (weak or strong) in the image. The DIS map is obtained. This help as priority knowledge to know the possibility of the region segmentation by the next step (MRF), which gives an image that has all the edges and regions information. In MRF model,gray level l, at pixel location i, in an image X, depends on the gray levels of neighboring pixels. The segmentation results are improved by using watershed algorithm. After all pixels of the segmented regions are processed, a map of primitive region with edges is generated. The edge map is obtained using a merge process based on averaged intensity mean values. A common edge detectors that work on (MRF) segmented image are used and the results are compared. The segmentation and edge detection result is one closed boundary per actual region in the image.

关键词： Difference In Strength (DIS) Markov Random Field (MRF) watershed algorithm K-means edge detection image segmentation image analysis

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Towards an Ontology-Based Multi-Agent Medical Information System Based on the Web

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Journal of Shanghai Jiaotong University(Science) 2002年第2期E-7卷 194-197页

作者：张全海施鹏飞 Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

This paper described an ontology-based multi-agent knowledge process made (MAKM) which is one of multi-agents systems (MAS) and uses semantic network to describe agents to help to locate relative agents distributed in the workgroup. In MAKM, an agent is the entity to implement the distributed task processing and to access the information or knowledge. Knowledge query manipulation language (KQML) is adapted to realize the communication among agents. So using the MAKM mode, different knowledge and information on the medical domain could be organized and utilized efficiently when a collaborative task is implemented on the web.

关键词： multi-agents system (MAS) medical information semantic network ontology

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Estimation of camera pose using 2D to 3D corner correspondence

Estimation of camera pose using 2D to 3D corner corresponden...

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International Conference on Information Technology: Coding and Computing (ITCC)

作者： Fanhuai Shi Yuncai Liu Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong University China

ISBN: (纸本)0769521088

We present a new method for the determination of camera pose from 2D to 3D corner correspondence. Two cases are considered: the orthogonal corner and the general corner with known space angles. The contribution of the paper is in two folds: one is that the camera pose parameters, i.e., the rotation and translation, are easily recovered from a 2D to 3D corner correspondence; the other is that experiments using both simulated data and real images are conducted, which present good results.

关键词： Cameras Robot vision systems Aircraft navigation image processing pattern recognition image edge detection image motion analysis Robot kinematics Orbital robotics Calibration

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An Authentication Technique Based on Classification

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Journal of Donghua University(English Edition) 2004年第3期21卷 103-106页

作者：李钢杨杰 Inst. Of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

We present a novel watermarking approach based on classification for authentication, in which a watermark is embedded into the host image. When the marked image is modified, the extracted watermark is also different to the original watermark, and different kinds of modification lead to different extracted watermarks. In this paper, different kinds of modification are considered as classes, and we used classification algorithm to recognize the modifications with high probability. Simulation results show that the proposed method is potential and effective.

关键词： Authentication data hiding fragile watermark Classification

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A Model of Car-Following with Adaptive Headway

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Journal of Shanghai Jiaotong University(Science) 2006年第3期000卷 394-398页

作者： LI Zhi-peng LIU Yun-cai Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200240 China

The performances of a well-known GHR car-following model was investigated byusing numerical simulations in describing the acceleration and deceleration process induced by themotion of a leading car. It is shown that in GHR model vehicle is allowed to run arbitrarily closetogether if their speed are identical, and it waves aside even though the separation is larger thanits desired distance. Based on these investigations, a modified GHR model which features a newnonlinear term which attempts to adjust the inter-vehicle spacing to a certain desired value wasproposed accordingly to overcome these deficiencies. In addition, the analysis of the additivenonlinear term and steady-state flow of the new model were studied to prove its rationality.

关键词： car-following models inter-vehicle spacing traffic flow steady-state

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Model of car-following with adaptive headway

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Journal of Shanghai Jiaotong University (Science) 2006年第3期11 E卷 394-398页

作者： Li, Zhi-Peng Liu, Yun-Cai Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200240 China

The performances of a well-known GHR car-following model was investigated by using numerical simulations in describing the acceleration and deceleration process induced by the motion of a leading car. It is shown that in GHR model vehicle is allowed to run arbitrarily close together if their speed are identical , and it waves aside even though the separation is larger than its desired distance. Based on these investigations, a modified GHR model which features a new nonlinear term which attempts to adjust the inter-vehicle spacing to a certain desired value was proposed accordingly to overcome these deficiencies. In addition, the analysis of the additive nonlinear term and steady-state flow of the new model were studied to prove its rationality.

关键词： Street traffic control

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Multitask learning using partial least squares method

Multitask learning using partial least squares method

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proceedings of the Seventh International Conference on Information Fusion, FUSION 2004

作者： Lu, Wen-Cong Chen, Nian-Yi Li, Guo-Zheng Yang, Jie Department of Chemistry Shanghai University 200436 Shanghai China Inst. Image Proc. and Pattern Recog. Shanghai Jiaotong University 200030 Shanghai China

ISBN: (纸本)917056115X

In the machine learning field, feature selection is used to discard the redundant information and improve the learning accuracy. In this paper, the redundant information is reused in the learning of partial least squares method within the frame of multitask learning. This newly proposed method is used to solve the multivariate calibration problem, a classic problem in the analytical chemistry field. Results on three data sets collected using fluorescence spectroscopy show that multitask learning can help to improve the prediction accuracy of partial least squares method greatly.

关键词： Learning systems

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New noise erosion operator for anisotropic diffusion

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Chinese Optics Letters 2004年第5期2卷 268-270页

作者： Cai, Chao Ding, Mingyue Zhou, Chengping Zhang, Tianxu Lab. for Image Proc. Inst. for Pattern Recognition Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

A noise erosion operator based on partial differential equation (PDE) was introduced, which has an excellent ability of noise removal and edge preservation for two-dimensional (2D) gradient data. The operator was applied to estimate a new diffusion coefficient. Experimental results demonstrate that anisotropic diffusion based on this new erosion operator can efficiently reduce noise and sharpen object boundaries.

关键词： Noise abatement

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