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2014 International Conference on Communication technology and Application(CTA2014)

作者： Z.H.Yang P.Dong Institute of Image Processing & Pattern Recognition North China University of Technology

ISBN: (纸本)9781845649302

This paper presents a novel approach for finding more accurate feature pairs which is not only invariant to affine transformation, but also deals with images with repetitive shapes. First, the more accurate and robust homographic transformation between different views could be calculated through bi-directional matching and appropriate selection of threshold. Second, an affine geometric property, ratios of areas of corresponding triangles are affine invariant, is used to obtain more feature pairs based on the first step. Experiments demonstrate that the proposed method outperforms the state-of-art ASIFT in the number of correct feature pairs and matching accuracy among images with repetitive patterns.

关键词： image matching repetitive shapes feature points affine invariance ASIFT

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Wideband transmit beampattern design for MIMO array

Wideband transmit beampattern design for MIMO array

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2011 IEEE International Conference on Signal processing, Communications and Computing, ICSPCC 2011

作者： Jin, Yong Liu, Xian-Xing Huang, Jian-Guo Institute of Image Processing Pattern Recognition Henan University KaiFeng 475000 China College of Marine Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781457708947

Transmit beamforming design for Multiple Input Multiple Output (MIMO) array is studied. The performance of narrowband transmits beamforming design methods is detailed discussed through simulations. Aiming at wideband transmit beamforming design;suppose each sensor transmits at the same power level, three criteria namely conventional least square beampattern matching, minimum targets azimuth cross-correlation matching and minimum sidelobe matching are proposed to constrain the cross-relation matrix of wideband transmitting signals. Through equivalent transform, above optimum problems are described as Semi-Definite Quadratic Programming. Convex optimization techniques are used to find the numerical solution of the resulted optimization problems. Simulations show that our method is effective and promising. © 2011 IEEE.

关键词： Quadratic programming

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Real-time Oxygen Saturation Measurement Based on Reflective Region Removal technology

Real-time Oxygen Saturation Measurement Based on Reflective ...

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2019第十一届数字图像处理国际会议

作者： Jiancheng Zou Yupeng Chen Bailin Ge Institute of Image Processing and Pattern Recognition North China University of Technology

Blood oxygen saturation is an important physiological parameter to measure human *** oxygen saturation can be measured in real time through an optical lens with high ***,when there is the light reflection of the measured area,the accuracy of the measurement results will fluctuate,leading to the instability of the measurement *** this paper,we improved the original algorithm by detecting and removing the highlight *** experimental results show that the accuracy of the improved method is higher than that of the traditional method in the case of specular reflection and the stability of the measurement results is enhanced.

关键词： Detection of reflective area blood oxygen saturation imaging photoplethysmography

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On the Target Area Tracking Method for Heart Rate Measurement Using Deep Learning Strategy

On the Target Area Tracking Method for Heart Rate Measuremen...

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2019第十一届数字图像处理国际会议

作者： Jiancheng Zou Sai Zhang Bailin Ge Institute of Image Processing and Pattern Recognition North China University of Technology

Heart rate monitoring is important for diagnosis and prevention of physiological *** method of measuring heart rate by infrared sequence image has high *** shaking is a factor to affect the measurement *** if a slight shaking will create a big measurement *** this paper,we propose an automatic capture algorithm of heart rate measurement through the real-time tracking and capturing of the face monitoring area,so the disturbance caused by human body shaking is *** with the traditional method1,the measurement accuracy of the tests with shaking is improved about 6% higher based on our algorithm.

关键词： Automatic capture algorithm face feature point detection heart rate measurement

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Mem Brain: An Easy-to-Use Online Webserver for Transmembrane Protein Structure Prediction

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Nano-Micro Letters 2018年第1期10卷 12-19页

作者： Xi Yin Jing Yang Feng Xiao Yang Yang Hong-Bin Shen Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Computer Science Shanghai Jiao Tong University Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering

Membrane proteins are an important kind of proteins embedded in the membranes of cells and play crucial roles in living organisms, such as ion channels,transporters, receptors. Because it is difficult to determinate the membrane protein's structure by wet-lab experiments,accurate and fast amino acid sequence-based computational methods are highly desired. In this paper, we report an online prediction tool called Mem Brain, whose input is the amino acid sequence. Mem Brain consists of specialized modules for predicting transmembrane helices, residue–residue contacts and relative accessible surface area of a-helical membrane proteins. Mem Brain achieves aprediction accuracy of 97.9% of ATMH, 87.1% of AP,3.2 ± 3.0 of N-score, 3.1 ± 2.8 of C-score. Mem BrainContact obtains 62%/64.1% prediction accuracy on training and independent dataset on top L/5 contact prediction,respectively. And Mem Brain-Rasa achieves Pearson correlation coefficient of 0.733 and its mean absolute error of13.593. These prediction results provide valuable hints for revealing the structure and function of membrane *** Brain web server is free for academic use and available at ***/bioinf/Mem Brain/.

关键词： Transmembrane a-helices Structure prediction Machine learning Contact map prediction Relative accessible surface area

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Iteratively Refine the Segmentation of Head and Neck Tumor in FDG-PET and CT images 1

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1st 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2020, which was held in conjunction with 23rd International Conference on Medical image Computing and Computer-Assisted Intervention, MICCAI 2020

作者： Chen, Huai Chen, Haibin Wang, Lisheng Department of Automation Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200240 China Perception Vision Medical Technology Guangzhou China

ISBN: (数字)9783030671945

ISBN: (纸本)9783030671938

The automatic segmentation of head and neck (H&N) tumor from FDG-PET and CT images is urgently needed for radiomics. In this paper, we propose a framework to segment H&N tumor automatically by fusing information of PET and CT. In this framework, multiple 3D-Unets are trained one-by-one. The predictions and features of upstream models will be captured as additional information for the next one to further refine the segmentation. Experiments show that iterative refinements can improve the performance. We evaluated our framework on the dataset of HECKTOR2020 (The challenge of head and neck tumor segmentation) and won the 5th place with average DSC, precision and recall of 0.7241, 0.8479, 0.6701 respectively. © 2021, Springer Nature Switzerland AG.

关键词： Computerized tomography

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Characteristic line of planar homography matrix and its applications in camera calibration

Characteristic line of planar homography matrix and its appl...

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18th International Conference on pattern recognition, ICPR 2006

作者： Jianhua, Wang Yuncai, Liu Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University 800 Dong Chuan Road Shanghai 200240 China

ISBN: (纸本)0769525210

In this paper, we employ the concept of characteristic line to show some useful properties of planar homography matrix. These properties relate the characteristic line of a planar homography matrix with Euler angles of the planar pattern. Based on the characteristic line, a new method of linear camera calibration is proposed and a strategy to select poses of planar pattern during taking calibration images is suggested. This strategy can help ensure accuracy of calibration. Experiment results including both simulated data and real images validate the method and strategy. © 2006 IEEE.

关键词： Computer graphics

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Restoration of rotational motion blurred image based on chebyshev polynomial interpolations

Restoration of rotational motion blurred image based on cheb...

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MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Zhang, Tianxu Hong, Hanyu Yan, Luxin Zhang, Xiuhua Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Laboratory of Image Processing and Intelligent Control Wuhan Institute of Technology Wuhan 430074 China

ISBN: (纸本)9780819478085

The restoration of rotational motion blurred image involves a lot of interpolations operators in rectangular-to-polar transformation and its inversion of polar-to-rectangular. The technique of interpolation determines the quality of restoration and computational complexity. In this paper, we incorporate orthogonal chebyshev polynomials interpolations into the processing of restoration of rotational motion blurred image, in which the space-variant blurs are decomposed into a series of space-invariant blurs along the blurring paths, and the blurred gray-values of the discrete pixels of the blurring paths are calculated by using of orthogonal chebyshev polynomials' interpolations and the space-variant blurs can be removed along the blurring paths in the polar system. At same way, we use orthogonal chebyshev polynomials' interpolations to perform polar-to-rectangular transformation to put the restored image back to its original rectangular format. In order to overcome the interference of noise, an optimization restoration algorithm based on regularizations is presented, in which non-negative and edge-preserving smoothing are incorporated into the process of restoration. A series of experiments have been performed to test the proposed interpolation method, which show that the proposed interpolations are effective to preserve edges. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Chebyshev polynomials

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Weak metric learning for feature fusion towards perception-inspired object recognition

Weak metric learning for feature fusion towards perception-i...

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16th International Multimedia Modeling Conference on Advances in Multimedia Modeling, MMM 2010

作者： Li, Xiong Zhao, Xu Fu, Yun Liu, Yuncai Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China NY 14260 United States

ISBN: (纸本)3642113001

With extracted local features of a given image, computing its global feature under perceptual framework has shown promising performance in object recognition. However, under some tough applications with large intra-class variance, using only one kind of local feature is inadequate to build a robust classification system. To integrate the discriminability of complementary local features, in this paper, we extend the efficacy of perceptual framework to adapt to heterogeneous features. Given multiple raw global features, we propose a fusion strategy through metric learning, which is called weak metric learning in this work, for fusing high dimensional features. The fusion model is solved with the maximal kernel canonical correlation formulation with the multiple global features as outputs. Experimental results show that our method achieves significant improvements about 5% to 11% than the benchmark perceptual framework system, HMAX, on several difficult categories of object recognition with much less training samples and feature elements. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Object recognition

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Color active contour models based tongue segmentation in traditional Chinese medicine

Color active contour models based tongue segmentation in tra...

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2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

作者： Yu, Shengyang Yang, Jie Wang, Yonggang Zhang, Yan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Dept. of Computer Science Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)1424411203

Automated tongue image segmentation in tongue diagnosis system of traditional Chinese medicine is difficult due to two factors: There are lots of pathological details on the surface of tongue, and the shapes of tongue bodies are quite different. By adequately considering color information of tongue images, knowledge-based initial tongue body boundary detection and a color gradient are introduced into the gradient vector flow snake. The roughly detected tongue body boundary is employed to lead the usage of color gradient and the convergence of snake. The experiments results show robustness and accuracy of the algorithm. This work establishes a solid foundation for feature analysis of tongue diagnosis. © 2007 Crown Copyright.

关键词： Medical imaging

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