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GAN-DIRNet:A Novel Deformable image Registration Approach for Multimodal Histological images

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Computers, Materials & Continua 2024年第7期80卷 487-506页

作者： Haiyue Li Jing Xie Jing Ke Ye Yuan Xiaoyong Pan Hongyi Xin Hongbin Shen institute of image processing and pattern recognition Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai200240China Department of Pathology Ruijin HospitalShanghai Jiao Tong UniversitySchool of MedicineShanghai200025China Department of Computer Science and Engineering Shanghai Jiao Tong UniversityShanghai200240China Global institute of Future Technology Shanghai Jiao Tong UniversityShanghai200240China

Multi-modal histological image registration tasks pose significant challenges due to tissue staining operations causing partial loss and folding of *** neural network(CNN)and generative adversarial network(GAN)are pivotal inmedical image ***,existing methods often struggle with severe interference and deformation,as seen in histological images of conditions like Cushing’s *** argue that the failure of current approaches lies in underutilizing the feature extraction capability of the discriminator *** this study,we propose a novel multi-modal registration approach GAN-DIRNet based on GAN for deformable histological image *** begin with,the discriminators of two GANs are embedded as a new dual parallel feature extraction module into the unsupervised registration networks,characterized by implicitly extracting feature descriptors of specific ***,modal feature description layers and registration layers collaborate in unsupervised optimization,facilitating faster convergence and more precise ***,experiments and evaluations were conducted on the registration of the Mixed National institute of Standards and Technology database(MNIST),eight publicly available datasets of histological sections and the Clustering-Registration-Classification-Segmentation(CRCS)dataset on the Cushing’s *** results demonstrate that our proposed GAN-DIRNet method surpasses existing approaches like DIRNet in terms of both registration accuracy and time efficiency,while also exhibiting robustness across different image types.

关键词： Histological images registration deformable registration generative adversarial network cushing’s disease machine learning computer vision

A New Method for Reasoning about Action

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Journal of Computer Science & Technology 1996年第2期11卷 188-192页

作者：杨杰 institute of image processing & pattern recognition Shanghai Jiaotong University Shanghai

Reasoning about action is an important aspect of common sense reasoning and planning. It gives rise to three classical problems: the frame problem,the qualification problem and the ramification problem. Ekisting approaches cannot deal with these problems efficiently. This paper presents a new method which uses the stratified ATMS for reasoning about action to overcome the limitations of these approaches.

关键词： Reasoning about action nonmonotonic reasoning stratified ATMS

Urban road area recognition in ITS based on mean shift method

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Chinese Optics Letters 2003年第10期1卷 585-587页

作者：陈兆学施鹏飞 institute of image processing and pattern recognition Shanghai Jiaotong University Shanghai 200030

A color-based visual technique is described based on the mean shift image segmentation method providing relevant information for robust localization of the visible road area in Urban Intelligent Transportation System (U-ITS). The traffic image sequences are firstly trained to extract the background and then segmented into separated parts by the mean shift method as initialization, regions with the number of pixels not less than a threshold and with more uniform surfaces with the 'same' color compared to their environment are filtered as recognized road area. The algorithm given in this paper can present road area recognition with arbitrary shapes, which is fit for unstructured road applications in urban cities very well.

关键词： Algorithms Highway traffic control

Supervised non-negative matrix factorization based latent semantic image indexing

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Chinese Optics Letters 2006年第5期4卷 272-274页

作者：梁栋杨杰常宇畴 institute of image processing and pattern recognition Shanghai Jiaotong UniversityShanghai 200240

A novel latent semantic indexing （LSI） approach for content-based image retrieval is presented in this paper. Firstly, an extension of non-negative matrix factorization （NMF） to supervised initialization is discussed. Then, supervised NMF is used in LSI to find the relationships between low-level features and high-level semantics. The retrieved results are compared with other approaches and a good performance is obtained.

关键词： image processing Indexing (of information) Matrix algebra Semantics

A New Method of Color Edge Detection Based on Local Structure Analysis

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Journal of Donghua university(English Edition) 2008年第6期25卷 718-725页

作者：江舒周越朱巍巍 institute of image processing and pattern recognition Shanghai Jiaotong University

Human's real life is within a colorful world. Compared to the gray images, color images contain more information and have better visual effects. In today's digital image processing, image segmentation is an important section for computers to "understand" images and edge detection is always one of the most important methods in the field of image segmentation. Edges in color images are considered as local discontinuities both in color and spatial domains. Despite the intensive study based on integration of single-channel edge detection results, and on vector space analysis, edge detection in color images remains as a challenging issue.

关键词： color edge detection local structure analysis local homogeneity color difference vector

Comparison of Several Traffic Forecasting Methods Based on Travel Time Index Data on Weekends

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Journal of shanghai jiaotong university(Science) 2010年第2期15卷 188-193页

作者：张扬史文欢刘允才 institute of image processing and pattern recognition Shanghai Jiaotong University

Traffic forecasting provides the estimation of future traffic state to help traffic control,travel guide,etc. This paper compared several widely used traffic forecasting methods,and analyzed each one's performance in detail to make conclusions,which could redound to researchers choosing an appropriate traffic forecasting method in their own works. Compared with conventional works,this paper creatively assessed the performance of traffic forecasting methods based on travel time index (TTI) data prediction,which made the accuracy of our comparison better.

关键词： traffic forecasting travel time index (TTI) performance evaluation

An Improved Car-Following Model for Multiphase Vehicular Traffic Flow and Numerical Tests

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Communications in Theoretical Physics 2006年第2X期46卷 367-373页

作者： LI Zhi-Peng GONG Xiao-Bo LIU Yun-Cai institute of image processing and pattern recognition Shanghai Jiaotong University Shanghai 200240 China

This paper attempts to introduce an improved difference model that modifies a car-following model, which takes the next-nearest-neighbor interaction into account. The hnprovement of this model over the previous one lies in that it performs more realistically in the dynamical motion for small delay time. The traffic behavior of the improved model is investigated with analytic and numerical methods with the finding that the new consideration could further stabilize traffic flow. And some simulation tests verify that the proposed model can demonstrate some complex physical features observed recently in real traffic such as the existence of three phases： free flow, coexisting flow, and jam flow; spontaneous formation of density waves; sudden flow drop in flow-density plane; traffic hysteresis in transition between the free and the coexisting flow. Furthermore, th.e improved model also predicts that the stable state to relative density in the coexisting flow is insusceptible to noise.

关键词： car-following models density waves traffic flow

A universal method for camera calibration in UITS scenes

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Chinese Optics Letters 2005年第2期3卷 69-72页

作者：陈兆学施鹏飞 institute of image processing and pattern recognition shanghai jiaotong university Shanghai 200030

A universal approach to camera calibration based on features of some representative lines on traffic ground is presented. It uses only a set of three parallel edges with known intervals and one of their intersected lines with known slope to gain the focal length and orientation parameters of a camera. A set of equations that computes related camera parameters has been derived from geometric properties of the calibration pattern. With accurate analytical implementation, precision of the approach is only decided by accuracy of the calibration target selecting. Final experimental results have showed its validity by a snapshot from real automatic visual traffic surveillance （AVTS） scencs.

关键词： line A universal method for camera calibration in UITS scenes

Practical Fast Computation of Zernike Moments

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Journal of Computer Science & Technology 2002年第2期17卷 181-188页

作者： Al-Rawi Mohammed 杨杰 image processing and pattern recognition institute Shanghai Jiaotong University Shanghai 200030 P.R. China

The fast computation of Zernike moments from normalized geometric moments has been developed in this paper. The computation is multiplication free and only additions are needed to generate Zernike moments. Geometric moments are generated using Hatamian's filter up to high orders by a very simple and straightforward computation scheme. Other kinds of moments (e.g., Legendre, pseudo Zernike) can be computed using the same algorithm after giving the proper transformations that state their relations to geometric moments. Proper normalizations of geometric moments are necessary so that the method can be used in the efficient computation of Zernike moments. To ensure fair comparisons, recursive algorithms are used to generate Zernike polynomials and other coefficients. The computational complexity model and test programs show that the speed-up factor of the proposed algorithm is superior with respect to other fast and/or direct computations. It perhaps is the first time that Zernike moments can be computed in real time rates, which encourages the use of Zernike momentfeatures in different image retrieval systems that support huge databases such as the XM experimental model stated for the MPEG-7 experimental core. It is concluded that choosing direct computation would be impractical.

关键词： Zernike moment fast algorithm digital filter invariant pattern recognition image indexing