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检索条件"任意字段=Image Processing: Algorithms and Systems V"

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The Use of Different Architectures and Streak Observations algorithms to Detect Space Debris 31

The Use of Different Architectures and Streak Observations A...

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31st GI/ITG International Conference on Architecture of Computing systems, ARCS 2018

作者： vallduriola, Gerard vives Scharf, Arthur Pittet, Jean-Noel Utzmann, Jens Trujillo, Diego Andrés Suárez vananti, Alessandro Heifers, Tim Daens, Damien Airbus Defence and Space GmbH Taufkirchen Germany Bern Switzerland

ISBN: (纸本)9783800745593

Modern society depends heavily on satellite infrastructure. However, Space becomes more and more congested by space debris from over 50 years of space activities. This growing threat in orbit must be monitored. The aim of the ESA GSTP activity "Optical In-Situ Monitor" is to design and test a breadboard of a space-based space debris camera and to develop and test its end-to-end processing chain. The on-board processing functions will focus on the payload image processing in order to reduce the data volume (image segmentation for streak detection)* The suitable technologies for the processing units will be described: The HPDP, an ARM-Cortex R5F processor and Microsemi's RTG4 FPGA. For image processing, several algorithms were tested extensively: The CCSDS 122.0-B-l, the Boundary Tensor and the Differences Method. This paper shows the current state of the project and gives an overview of what activities still need to be tackled before finalization. The final step of the project will be to decide which combination of processor-algorithm yields the best results. © ARCS 2018.

关键词： image segmentation

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Towards Smart Mobility During Flooding Events in Urban Areas using Crowdsourced Information 5

Towards Smart Mobility During Flooding Events in Urban Areas...

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5th IEEE Annual International Smart Cities Conference (ISC2)

作者： Castro, Ubaldo Avila, Jonathan Sustaita, Cynthia, v Hernandez, M. Armando Larios, victor M. villanueva-Rosales, Natalia Mondragon, Oscar Cheu, Ruey Long Maciel, Rocio Univ Texas El Paso Dept Comp Sci El Paso TX 79968 USA CUCEA Univ Guadalajara Smart Cities Innovat Ctr Guadalajara Jalisco Mexico Univ Texas El Paso Dept Comp Sci Cyber ShARE El Paso TX 79968 USA Univ Texas El Paso Ind Mfg & Syst Engn Dept El Paso TX 79968 USA Univ Texas El Paso Dept Civil Engn El Paso TX 79968 USA

ISBN: (纸本)9781728108469

Flooding hinders the ability of residents to move through-out urban areas. Current weather information systems provide weather forecasts with a granularity too coarse to inform city residents of floods at a street level. Reliable real-time data is also limited in some cities and only a few systems enable users to report flooding events. This research project aims to inform residents about flooding events through the Flooding Alert System (FAS), which seamlessly integrates real-time data, crowdsourced data, historical data and provides timely and precise information to users so that they can make informed decisions during these events. The proposed Smart Cities solution, uses Internet of Things sensors equipped with an image processing algorithm for approximating the water level at at-risk areas. In adittion, a mobile application allows users to report and receive alerts of nearby flooding events as they occur. The expected products will be piloted in Guadalajara, JAL, MX. Transferability of our solution is planned to be evaluated through the application of these products in El Paso, TX, USA.

关键词： Smart City Crowdsourcing Transportation & Mobility Internet of Things Safety Smart Infrastructure Flooding algorithms

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Hybrid algorithms for Moving vehicle Plate Recognition System

Hybrid Algorithms for Moving Vehicle Plate Recognition Syste...

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International Conference on Communication and Electronics systems (ICCES)

作者： Shreyas S Bagi C H Harshith Santosh Tuppad v Dinu R Srikantaswamy Siddaganga Institute of Technology Tumkur India

ISBN: (数字)9781728112619

ISBN: (纸本)9781728112626

The Automatic Number Plate Recognition (ANPR) is a image processing innovation that utilizes the vehicle number (permit) plate for vehicle identification. The goal is to utilize the vehicle number plate to plan a productive programmed approved vehicle distinguishing proof framework. The framework is executed in the college entrance for security control. This paper highlights the license plate extraction algorithm where number plate is extracted using Sobel filter, morphological operations and Connected Component Analysis (CCA). Then character segmentation based on CCA and Spectral Analysis, then character recognition based on Support vector Machine (SvM) technique. In OpenCv-Python, the proposed model is simulated and implemented and its performance is evaluated on the actual image.

关键词： Licenses Support vector machines image segmentation Automobiles Feature extraction Conferences Character recognition

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Automotive weather strip manufacturing: Process modeling and extrudate dimensional accuracy evaluation 51

Automotive weather strip manufacturing: Process modeling and...

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51st CIRP Conference on Manufacturing systems (CIRP CMS)

作者： Stavropoulos, P. Alexopoulos, H. Papacharalampopoulos, A. Mourtzis, D. Univ Patras Lab Mfg Syst & Automat Dept Mech Engn & Aeronaut Patras 26500 Greece

This paper presents the computational modeling results of the rubber extrusion manufacturing process. The impact of the die swell phenomenon is quantified by running iterative models, differentiating the inflow rate. The extrudate's dimensions are identified by making use of image processing algorithms for detecting the edge. Also, the velocity values at the outlet are calculated for various inflow rates and are presented graphically. The generated rules are correlating the manufacturing parameters with the Key Performance Indicators (KPIs) and can predict the extrudate's dimensions towards zero defect manufacturing. (C) 2018 The Authors. Published by Elsevier B.v.

关键词： Rubber extrusion image processing Edge detection viscoelasticity

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Automatization of algorithms for visual quality control of coatings and contours on the products for medical purposes 12

Automatization of algorithms for visual quality control of c...

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12th International Conference on Interfaces and Human Computer Interaction 2018, 11th International Conference on Game and Entertainment Technologies 2018 and 12th International Conference on Computer Graphics, visualization, Computer vision and image processing 2018, part of the Multi Conference on Computer Science and Information systems 2018, MCCSIS 2018

作者： Baklanova, Olga E. Ryzhkova, Elena v. Iskakova, Madina M. D. Serikbayev East Kazakhstan State Technical University Kazakhstan

ISBN: (纸本)9789898533791

The study aims to development of production technologies of titanium and its coatings of domestic production of medical products. In this study were considered Sobel operator and Gabor filter, which are of greatest interest for the development and improvement of quality control systems. The analysis of the image gives an assessment of quality of production, reveals existence of defects that allows to correct the processing line of production, and also to reveal malfunction of the equipment. Using of new algorithms for visual quality control of geometric parameters and coating texture, allows processing of medical products with minute and high performance. © 2018.

关键词： Gabor filters

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Machine learning based Detection of Zinc Mineralization North India using Hyperspectral image processing

Machine learning based Detection of Zinc Mineralization Nort...

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International Conference on Communication and Electronics systems (ICCES)

作者： J. Aravinth Biplab Nath M. Siva Subramanian Rohit v.S.S. Bulusu P. Monish Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (数字)9781728112619

ISBN: (纸本)9781728112626

This paper presents the use of hyperspectral image processing as an alternative to traditional mineral exploration techniques for identification of regions in the study area rich in zinc mineral. Zincian Dolomite is a known ore of zinc found in the study area. The Hyperion sensor dataset of a study area in Rajasthan, India is obtained from the USGS (United States Geological Survey) Earth explorer and pre-processed using ENvI (Environment for visualizing images) software to remove noise. The pre-processed data is later exported to a dedicated python program which uses machine learning algorithms to identify the regions rich in Zincian Dolomite. The proposed technique form mineral exploration is faster and cheaper than the traditional techniques and is also found to be very accurate in identification of the minerals.

关键词： Zinc Reflectivity Minerals Atmospheric waves Conferences Hyperspectral imaging Forestry

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A modified technique for smart textural feature selection to extract retinal regions of interest using image pre-processing 4

A modified technique for smart textural feature selection to...

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4th International Conference on Information Technology and Nanotechnology, ITNT 2018

作者： Ilyasova, N.Yu. Shirokanev, A.S. Paringer, R.A. Kupriyanov, A.v. Zolotarev, A.v. Samara National Research University Moskovskoe shosse st. 34 Samara443086 Russia Image Processing Systems Institute Branch of the Federal Scientific Research Centre Crystallography and Photonics Russian Academy of Sciences Molodogvardeyskaya str. 151 Samara443001 Russia Samara State Medical University Chapayevskaya st. 89 Samara443066 Russia

To increase the efficiency of the laser coagulation surgery the problem of the most accurate segmentation of fundus images is especially relevant. Fundus image segmentation is carried out with high accuracy using effective features and the minimum number of parameters for segmentation of a single image fragment. This paper describes a modified technique for smart textural feature selection to extract retinal regions of interest using image preprocessing algorithms. Preprocessing algorithms significantly influence the selected features which provide a minimum error of object recognition. In addition image preprocessing algorithms provide a more precise object selection. The informativeness of the obtained feature space is studied using discriminant data analysis. The best fragmentation block size segmentation and feature sets provides the necessary accuracy to identify regions of interest. Those regions are determined by the analysis of the following 4 classes of fundus images: exudates, thick, thin vessels and healthy areas. The advantages and disadvantages of the considered preprocessing algorithms were identified. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： image segmentation

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Research on an image High Intensive Encryption Way Based on the Chaos Theory and DNA Coding

Research on an Image High Intensive Encryption Way Based on ...

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International Congress on image and Signal processing, BioMedical Engineering and Informatics

作者： Kaishi Li Zhen Su School of Information and Communication Engineering Communication University of China Beijing China

With the development of Internet information technology, reliable transmission of multimedia data such as images and videos is becoming more and more important. For the traditional data encryption technology can not be effectively used in the current image encryption, this paper proposes a color image encryption algorithm based on two hyperchaotic systems and DNA coding and studies its performance. Firstly, a color image is divided into three channels: R, G, and B. Then, the random matrix generated by Logistic mapping and the three-channel matrix of plaintext image are partitioned into blocks. The random sequence generated by Chen hyperchaotic system is used to determine the DNA encoding and decoding mode and DNA operation mode of each channel of plaintext image RGB and each sub-block of random matrix. The DNA encoding and decoding mode and the DNA operation mode of each sub-block are performed in parallel and the Logistic chaotic system is used to map out the sequence to perform row and column replacement on the ciphertext image. Finally merge the encrypted sub-blocks to get the encrypted image. At the same time, the paper analyzes the encryption effect by histograms of R, G and B channels, information entropy, adjacent pixel correlation and key sensitivity simulation. By comparing the simulation results with other algorithms, it can be concluded that the image encryption effect is objective and has the characteristics of high security, large key space and strong anti-attack performance.

关键词： DNA Encryption image coding Chaotic communication Decoding Channel coding

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Considerations in the development of a foveated imaging system for unmanned aerial vehicles (UAvs) 5

Considerations in the development of a foveated imaging syst...

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Conference on image Sensing Technologies - Materials, Devices, systems, and Applications v

作者： O'Neill, Andrew D. Davidson, Joshua C. Kane, Tim J. Narayanan, Ram M. Dhar, Nibir K. Penn State Univ Dept Elect Engn University Pk PA 16802 USA US Army RDECOM CERDEC Night Vis & Elect Sensors Directorate Ft Belvoir VA 22060 USA

ISBN: (数字)9781510618244

ISBN: (纸本)9781510618244

A fundamental problem in imaging remote sensing systems is that of scale and resolution. The ability to resolve an object at a distance requires a high resolution sensor, with pixels subtending a small portion of the total field-of-view (FOv) of the imaging system. Traditional approaches to addressing this challenge are fundamentally data limited. To this end, we implemented foveating data reduction models inspired by the bi-foveated vision of birds of prey. The development of such systems for multiple target detection and tracking for air-to-ground target acquisition is important for several defense applications. The relative merits and disadvantages of various optical imaging technologies as well as several image transformations, sampling schemes, and object tracking algorithms were explored. variable focal lens controlled by pressure, external voltage, or microfluidics demonstrate potential for devices requiring high resolution within a specified range. The distortion, coma, and spherical aberrations that occur can be corrected through the use of adaptive optics and custom 3D printed lenses. In conjunction with the hardware aspects, algorithmic approaches were also considered. The use of dynamically generated, moving foveal regions was investigated for use in motion tracking and object detection algorithms. Through the use of imaging systems with exceptionally large fields of view and localized areas of high resolution, machine vision systems can be implemented with less computational and data overhead. The implementation of our system is suited to use in either unmanned aerial vehicle or autonomous vehicle applications.

关键词： foveated imaging image processing freeform optics transformation

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Classification of radar images with different methods of image preprocessing 4

Classification of radar images with different methods of ima...

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4th International Conference on Information Technology and Nanotechnology - Session: image processing and Earth Remote Sensing, IPERS-ITNT 2018

作者： Borodinov, A.A. Myasnikov, v.v. Samara National Research University Moskovskoye shosse34 Samara443086 Russia Image Processing Systems Institute Br. of the Fed. Sci. Research Centre 'Crystallography and Photonics' of Russian Academy of Sciences Molodogvardeyskaya str. 151 Samara443001 Russia

This work is aimed at comparing the classification algorithms and methods of machine learning with various methods of preliminary processing of radar images. Preprocessing step includes speckle noise filtering and object orientation normalization on the image. In comparison, the following classification algorithms were considered: Decision Tree, Support vector Machine, K Nearest-Neighbor method, Random Forest, AdaBoost where decision tree was used as a weak classifier, Convolutional Neural Network and Residual Neural Network. The principal component analysis was applied to reduce the dimension. The study was carried out on the objects from the base of radar images MSTAR. © 2018 CEUR-WS. All rights reserved.

关键词： Decision trees

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