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An image encryption scheme based on three-dimensional Brownian motion and chaotic system

Chinese Physics B 2017年第2期26卷 99-113页

作者： Xiu-Li Chai Zhi-Hua Gan Ke Yuan l Yang Lu Yi-Ran Chen School of Computer and Information Engineering Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475004 China Department of Electrical and Computer Engineering University of Pittsburgh Pittsburgh PA 15261 USA School of Software Henan University Kaifeng 475004 China Research Dep＇ ~tment Henan University Kaifeng 475004 China

At present, many chaos-based image encryption algorithms have proved to be unsafe, few encryption schemes permute the plain images as three-dimensional（3D） bit matrices, and thus bits cannot move to any position, the movement range of bits are limited, and based on them, in this paper we present a novel image encryption algorithm based on 3D Brownian motion and chaotic systems. The architecture of confusion and diffusion is adopted. Firstly, the plain image is converted into a 3D bit matrix and split into sub blocks. Secondly, block confusion based on 3D Brownian motion（BCB3DBM）is proposed to permute the position of the bits within the sub blocks, and the direction of particle movement is generated by logistic-tent system（LTS）. Furthermore, block confusion based on position sequence group（BCBPSG） is introduced, a four-order memristive chaotic system is utilized to give random chaotic sequences, and the chaotic sequences are sorted and a position sequence group is chosen based on the plain image, then the sub blocks are confused. The proposed confusion strategy can change the positions of the bits and modify their weights, and effectively improve the statistical performance of the algorithm. Finally, a pixel level confusion is employed to enhance the encryption effect. The initial values and parameters of chaotic systems are produced by the SHA 256 hash function of the plain image. Simulation results and security analyses illustrate that our algorithm has excellent encryption performance in terms of security and speed.

关键词： image encryption logistic-tent system（LTS） memristive chaotic system three-dimensional（3D） Brownian motion

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CNN-based invertible wavelet scattering for the investigation of diffusion properties of the in vivo human heart in diffusion tensor imaging

arXiv

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arXiv 2019年

作者： Deng, Zeyu Wang, Lihui Kuai, Zixiang Chen, Qijian Cheng, Xinyu Yang, Feng Yang, Jie Zhu, Yuemin Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province College of Computer Science and Technology Guizhou University Guiyang550025 China Imaging Center Harbin Medical University Cancer Hospital Harbin150081 China School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200240 China University Lyon INSA Lyon CNRS Inserm IRP Metislab CREATIS UMR5220 U1206 LyonF-69621 France

In vivo diffusion tensor imaging (DTI) is a promising technique to investigate noninvasively the fiber structures of the in vivo human heart. However, signal loss due to motions remains a persistent problem in in vivo cardiac DTI. We propose a novel motion-compensation method for investigating in vivo myocardium structures in DTI with free-breathing acquisitions. The method is based on an invertible Wavelet Scattering achieved by means of Convolutional Neural Network (WSCNN). It consists of first extracting translation-invariant wavelet scattering features from DW images acquired at different trigger delays and then mapping the fused scattering features into motion-compensated spatial DW images by performing an inverse wavelet scattering transform achieved using CNN. The results on both simulated and acquired in vivo cardiac DW images showed that the proposed WSCNN method effectively compensates for motion-induced signal loss and produces in vivo cardiac DW images with better quality and more coherent fiber structures with respect to existing methods, which makes it an interesting method for measuring correctly the diffusion properties of the in vivo human heart in DTI under free breathing. Copyright © 2019, The Authors. All rights reserved.

关键词： Diffusion tensor imaging

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Tutorial: Deep learning advancing the state-of-the-art in medical image analysis 1

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Workshops on image processing for the medicine, 2017

作者： Christlein, Vincent Ghesu, Florin C. Würfl, Tobias Maier, Andreas Isensee, Fabian Neher, Peter Maier-Hein, Klaus Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen Germany Junior Group Medical Image Computing German Cancer Research Center Heidelberg Germany

ISBN: (数字)9783662543450

ISBN: (纸本)9783662543443

Deep Learning (DL) represents a key technological innovation in the field of machine learning. Recent advancements have attracted much attention by showing substantial improvements in a wide range of applications such as image recognition, speech recognition, natural language processing and artificial intelligence. In some cases the performance even surpasses human accuracy, which motivated the introduction of a series of DL-based software products and automatization solutions (for example Apple Siri, Google Now, Google Autonomous Driving etc.). The same success also echoes in the research efforts of the medical imaging community. However, in this case several constraints such as data-availability, inherent data noise or lack of labeled data directly affect the pace of advancements.

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A FAST RADIO BURST DISCOVERED IN FAST DRIFT SCAN SURVEY

arXiv

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arXiv 2020年

作者： Zhu, Weiwei Li, Di Luo, Rui Miao, Chenchen Zhang, Bing Spitler, Laura Lorimer, Duncan Kramer, Michael Champion, David Yue, Youling Cameron, Andrew Cruces, Marilyn Duan, Ran Feng, Yi Han, Jun Hobbs, George Niu, Chenhui Niu, Jiarui Pan, Zhichen Qian, Lei Shi, Dai Tang, Ningyu Wang, Pei Wang, Hongfeng Yuan, Mao Zhang, Lei Zhang, Xinxin Cao, Shuyun Feng, Li Gan, Hengqian Gao, Long Gu, Xuedong Guo, Minglei Hao, Qiaoli Huang, Lin Huang, Menglin Jiang, Peng Jin, Chengjin Li, Hui Li, Qi Li, Qisheng Liu, Hongfei Pan, Gaofeng Peng, Bo Qian, Hui Shi, Xiangwei Song, Jinyuo Song, Liqiang Sun, Caihong Sun, Jinghai Wang, Hong Wang, Qiming Wang, Yi Xie, Xiaoyao Yan, Jun Yang, Li Yang, Shimo Yao, Rui Yu, Dongjun Yu, Jinglong Zhang, Chengmin Zhang, Haiyan Zhang, Shuxin Zheng, Xiaonian Zhou, Aiying Zhu, Boqin Zhu, Lichun Zhu, Ming Zhu, Wenbai Zhu, Yan CAS Key Laboratory of FAST NAOC Chinese Academy of Sciences Beijing100101 China University of Chinese Academy of Sciences Beijing100049 China CSIRO Astronomy and Space Science PO Box 76 EppingNSW1710 Australia Department of Physics and Astronomy University of Nevada Las Vegas Las VegasNV89154 United States National Astronomical Observatories Chinese Academy of Sciences Beijing100012 China Max-Planck-Institut fr Radioastronomie Auf dem Hgel 69 BonnD-53121 Germany Department of Physics and Astronomy West Virginia University P.O. Box 6315 MorgantownWV26506 United States Center for Gravitational Waves and Cosmology Chestnut Ridge Research Building MorgantownWV26505 United States Image Processing and Pattern Recognition Laboratory School of Artificial Intelligence Beijing Normal University Beijing100875 China School of Information Management Dezhou University Dezhou253023 China Institute for Astronomical Science Dezhou University Dezhou253023 China

We report the discovery of a highly dispersed fast radio burst, FRB 181123, from an analysis of ∼1500 hr of drift-scan survey data taken using the Five-hundred-meter Aperture Spherical radio Telescope (FAST). The pulse has three distinct emission components, which vary with frequency across our 1.0–1.5 GHz observing band. We measure the peak flux density to be > 0.065 Jy and the corresponding fluence > 0.2 Jy ms. Based on the observed dispersion measure of 1812 cm−3 pc, we infer a redshift of ∼ 1.9. From this, we estimate the peak luminosity and isotropic energy to be . 2 × 1043 erg s−1 and . 2 × 1040 erg, respectively. With only one FRB from the survey detected so far, our constraints on the event rate are limited. We derive a 95% confidence lower limit for the event rate of 900 FRBs per day for FRBs with fluences > 0.025 Jy ms. We performed follow-up observations of the source with FAST for four hours and have not found a repeated burst. We discuss the implications of this discovery for our understanding of the physical mechanisms of FRBs. Copyright © 2020, The Authors. All rights reserved.

关键词： Surveys

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Author Correction: Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats

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Nature communications 2025年第1期16卷 1507页

作者： Jakob Steinfeldt Benjamin Wild Thore Buergel Maik Pietzner Julius Upmeier Zu Belzen Andre Vauvelle Stefan Hegselmann Spiros Denaxas Harry Hemingway Claudia Langenberg Ulf Landmesser John Deanfield Roland Eils Department of Cardiology Angiology and Intensive Care Medicine Deutsches Herzzentrum der Charité (DHZC) Berlin Germany. Charité - Universitätsmedizin Berlin corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin Klinik/Centrum Berlin Germany. Computational Medicine Berlin Institute of Health (BIH) Charite - University Medicine Berlin Berlin Germany. Friede Springer Cardiovascular Prevention Center@Charite Charite - University Medicine Berlin Berlin Germany. Institute of Cardiovascular Sciences University College London London UK. Center for Digital Health Berlin Institute of Health (BIH) Charite - University Medicine Berlin Berlin Germany. MRC Epidemiology Unit Institute of Metabolic Science University of Cambridge Cambridge UK. Precision Health University Research Institute Queen Mary University of London and Barts NHS Trust London UK. Institute of Health Informatics University College London London UK. Institute for Medical Engineering and Science Massachusetts Institute of Technology Massachusetts USA. Pattern Recognition and Image Analysis Lab University of Münster Münster Germany. British Heart Foundation Data Science Centre London UK. Health Data Research UK London UK. National Institute for Health Research Biomedical Research Centre at University College London Hospitals London UK. Berlin Institute of Health (BIH) Charite - University Medicine Berlin Berlin Germany. DZHK (German Centre for Cardiovascular Research) Partner Site Berlin Berlin Berlin Germany. Center for Digital Health Berlin Institute of Health (BIH) Charite - University Medicine Berlin Berlin Germany. roland.eils@bih-charite.de. Health Data Science Unit Heidelberg University Hospital and BioQuant Heidelberg Germany. roland.eils@bih-charite.de.

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Food losses in the vegetable supply chain: Evidence from brazilian consumer behaviour 7

Food losses in the vegetable supply chain: Evidence from bra...

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7th International Conference on Information Systems, Logistics and Supply Chain, ILS 2018

作者： Machado, Sivanilza Teixeira Dos Reis, João Gilberto Mendes Da Silva, Adriano Maniçoba Bueno, Régis Cortez Tanaka, Wilson Yoshio De Felice Zampini, Eugenio NAPOLE - Advanced Production Operations Logistics and Strategy Center Federal Institute of São Paulo 1501 Mogi das Cruzes Avenue Suzano SP Brazil RESUP - Supply Chain Research Group Post-graduate Program in Production Engineering Paulista University 1212 Dr. Bacelar St. São Paulo SP Brazil iLAB - Image Pattern Recognition Laboratory Federal Institute of São Paulo 1501 Mogi das Cruzes Avenue Suzano SP Singapore

Food Losses and wastes can become a major social and economic problem if not managed properly. Over the last decades, some research has focused on the waste and loss of fruits and vegetables due to the population growth, which makes essential to find out ways to reduce these wastes and losses. However, few studies dealt with the amount of fruit and vegetables that are wasted by consumers. The purpose of this study is to identify the main causes that affect the generation of wastes in household's consumer behavior. A structured survey was applied to 275 Brazilian consumers, where 53% were female and 47% male, restricted a region of Brazil to identify these causes. The results show that a high education level does not imply a low food waste. Moreover, it indicates that, despite the low volume waste by family, the sum of these wastes represents a huge volume affecting logistics and supply chain management, waste disposal areas and environmental pollution. © ILS 2018 - Information Systems, Logistics and Supply Chain, Proceedings. All rights reserved.

关键词： Vegetables

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Brazilian consumers' preference towards fruits: The drivers of banana, orange, lemon and apple supply chain 7

Brazilian consumers' preference towards fruits: The drivers ...

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7th International Conference on Information Systems, Logistics and Supply Chain, ILS 2018

作者： Machado, Sivanilza Teixeira Dos Reis, João Gilberto Mendes Da Silva, Adriano Maniçoba Bueno, Régis Cortez Tanaka, Wilson Yoshio De Felice Zampini, Eugenio Toloi, Rodrigo Carlo NAPOLE - Advanced Production Operations Logistics and Strategy Center Federal Institute of São Paulo 1501 Mogi das Cruzes Avenue Suzano SP Brazil RESUP - Supply Chain Research Group Post-graduate Program in Production Engineering Paulista University 1212 Dr. Bacelar St. São Paulo SP Brazil iLAB - Image Pattern Recognition Laboratory Federal Institute of São Paulo 1501 Mogi das Cruzes Avenue Suzano SP Singapore

Public health problem is associated to eating habits, such as higher consumption of fast food and popular snakes. Excessive consumption of these foods can cause health problems such as obesity due to its high energy densities. These foods have become commonplace in world culture for their low price and the easy-to-eat foods mass production. It is known that fruits are essential in balanced diets and an important part of the nutrition strategies programs by contribute to a healthy life. Some works has shown a consumer's global trend demand for product and the life quality and between fresh food and healthy. The Brazil are the third in the word in fruit supply chain and one of the biggest problems facing is fruit loss. It is estimated that mean of fruits losses occurs in households. The present study aimed to determine Brazilian preference towards fruit and the Brazilian consumer behavior influence which might contribute to losses during consumption stage. We explored the literature and created a survey with 275 participants, 46% of men and 53% of women, to identify the perception of Brazilian consumers that may contribute to fruit loss. The results shown the consumer preferences in buying mature fruits is associated with habits and can contribute to food losses and waste, because according best practice to fruit preservation is recommended that the majority types of mellow fruits should be stored in refrigerator and some of them should be consume as soon as possible. © ILS 2018 - Information Systems, Logistics and Supply Chain, Proceedings. All rights reserved.

关键词： Citrus fruits

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3D RoI-aware U-net for accurate and efficient colorectal tumor segmentation

arXiv

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arXiv 2018年

作者： Huang, Yi-Jie Dou, Qi Wang, Zi-Xian Liu, Li-Zhi Jin, Ying Li, Chao-Feng Wang, Lisheng Chen, Hao Xu, Rui-Hua Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University China Imsight Medical Technology Co. Ltd. China Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Sun Yat-sen University Cancer Center State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangzhou China

Segmentation of colorectal cancerous regions from 3D Magnetic Resonance (MR) images is a crucial procedure for radiotherapy which conventionally requires accurate delineation of tumour boundaries at an expense of labor, time and reproducibility. While deep learning based methods serve good baselines in 3D image segmentation tasks, small applicable patch size limits effective receptive field and degrades segmentation performance. In addition, Regions of interest (RoIs) localization from large whole volume 3D images serves as a preceding operation that brings about multiple benefits in terms of speed, target completeness, reduction of false positives. Distinct from sliding window or non-joint localization-segmentation based models, we propose a novel multitask framework referred to as 3D RoI-aware U-Net (3D RU-Net), for RoI localization and in-region segmentation where the two tasks share one backbone encoder network. With the region proposals from the encoder, we crop multi-level RoI in-region features from the encoder to form a GPU memory-efficient decoder for detail-preserving segmentation and therefore enlarged applicable volume size and effective receptive field. To effectively train the model, we designed a Dice formulated loss function for the global-to-local multi-task learning procedure. Based on the efficiency gains demonstrated by the proposed method, we went on to ensemble models with different receptive fields to achieve even higher performance costing minor extra computational expensiveness. Extensive experiments were subsequently conducted on 64 cancerous cases with a four-fold cross-validation, and the results showed significant superiority in terms of accuracy and efficiency over conventional state-of-the art frameworks. In conclusion, the proposed method has a huge potential for extension to other 3D object segmentation tasks from medical images due to its inherent generalizability. The code for the proposed method is publicly available. Copyright ©

关键词： Signal encoding

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Semantic channels for fast pedestrian detection

Semantic channels for fast pedestrian detection

引用

2016 IEEE Conference on Computer Vision and pattern recognition, CVPR 2016

作者： Costea, Arthur Daniel Nedevschi, Sergiu Image Processing and Pattern Recognition Research Center Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781467388511

Pedestrian detection and semantic segmentation are high potential tasks for many real-time applications. However most of the top performing approaches provide state of art results at high computational costs. In this work we propose a fast solution for achieving state of art results for both pedestrian detection and semantic segmentation. As baseline for pedestrian detection we use sliding windows over cost efficient multiresolution filtered LUV+HOG channels. We use the same channels for classifying pixels into eight semantic classes. Using short range and long range multiresolution channel features we achieve more robust segmentation results compared to traditional codebook based approaches at much lower computational costs. The resulting segmentations are used as additional semantic channels in order to achieve a more powerful pedestrian detector. To also achieve fast pedestrian detection we employ a multiscale detection scheme based on a single flexible pedestrian model and a single image scale. The proposed solution provides competitive results on both pedestrian detection and semantic segmentation benchmarks at 8 FPS on CPU and at 15 FPS on GPU, being the fastest top performing approach.

关键词： Semantics

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A novel color image encryption algorithm based on genetic recombination and the four-dimensional memristive hyperchaotic system

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Chinese Physics B 2016年第10期25卷 76-88页

作者：柴秀丽甘志华路杨张苗辉陈怡然 School of Computer and Information Engineering Institute of Image Processing and Pattern Recognition Henan University Department of Electrical and Computer Engineering University of Pittsburgh School of Software Henan University Research Department Henan University

Recently, many image encryption algorithms based on chaos have been proposed. Most of the previous algorithms encrypt components R, G, and B of color images independently and neglect the high correlation between them. In the paper, a novel color image encryption algorithm is introduced. The 24 bit planes of components R, G, and B of the color plain image are obtained and recombined into 4 compound bit planes, and this can make the three components affect each other. A four-dimensional(4D) memristive hyperchaotic system generates the pseudorandom key streams and its initial values come from the SHA 256 hash value of the color plain image. The compound bit planes and key streams are confused according to the principles of genetic recombination, then confusion and diffusion as a union are applied to the bit planes,and the color cipher image is obtained. Experimental results and security analyses demonstrate that the proposed algorithm is secure and effective so that it may be adopted for secure communication.

关键词： genetic recombination memristive hyperchaotic system color image encryption confusion diffusion

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