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

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A Zero-Watermarking Scheme using Discrete Wavelet Transform 4th

A Zero-Watermarking Scheme using Discrete Wavelet Transform

引用

4th International Conference on Eco-Friendly Computing and Communication systems (ICECCS)

作者： Rani, Asha Bhullar, Amandeep K. Dangwal, Deepak Kumar, Sanjeev IIT Roorkee Dept Comp Sci & Engn Roorkee 247667 Uttar Pradesh India Thapar Univ Sch Math & Comp Applicat Patiala 147001 Punjab India IIT Roorkee Dept Math Roorkee 247667 Uttar Pradesh India

Digital watermarking is an efficient technique to protect copyright and ownership of digital information. But in traditional methods of digital image watermarking, the texture of original image gets distorted more or less. In this paper, a zero-watermarking based copyright protection scheme is proposed. Watermark is not embedded in the host image rather it is encrypted with the host image. Two schemes are proposed, the basic idea behind both the schemes is making use of Discrete Wavelet Transformation and Singular value Decomposition to extract robust features of host image. The first approach consists of dividing the host image into overlapping sub images of size 8 x 8. Each block is further decomposed up to level-one using Discrete Wavelet Transform followed by Singular value Decomposition. In the second approach the image is first subject to DWT, then the approximation part is chosen and later it is divided into overlapping sub-images of size 4 x 4. The further steps are same for both the algorithms. The encryption of the secret image with the host image is done by generating two shares: the master share and the ownership share. The master share is generated by differential classification of features extracted. The ownership share is generated with the help of master share and secret image. The two shares separately do not give any clue of the secret image but when put together they reveal the encrypted secret image. Experimental results show how the proposed algorithm is successful in resisting some common image processing and geometrical attacks. (C) 2015 The Authors. Published by Elsevier B.v. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/)

关键词： Intellectual property Copyright protection image Watermarking Secret data hiding Singular value decomposition

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MEBCIS: Multi-Energy Betatron-based Cargo Inspection System

MEBCIS: Multi-Energy Betatron-based Cargo Inspection System

引用

IEEE Nuclear Science Symposium

作者： Anatoli Arodzero Salime Boucher Sergey v. Kutsaev Richard C. Lanza vincent Palermo Finn O'Shea vitaliy Ziskin Department of Nuclear Science and Engineering Massachusetts Institute of Technology Cambridge MA USA RadiaBeam Technologies Santa Monica CA USA Vertilon Corporation Westford MA USA

The security market requirements for state-of-the-art mobile and portal radiography inspection systems include high imaging resolution (better than 5 mm line pair), penetration beyond 300 mm steel equivalent, material discrimination (three groups of Z) at speeds up to 16 km/h with 100% image sampling, low dose and small radiation exclusion zone. New research into radiography methods and systems has been actively pursued in order to achieve these challenging requirements. Recently, a significant portion of the R&D effort has been devoted to re-examining betatron based X-ray inspection systems. The advantages of the betatron-based inspection systems over conventional linac-based designs include small focal spot (which improves resolution), low weight and form-factor, a simpler control system and relatively low cost. A novel, low-dose Multi-Energy Betatron-based Cargo Inspection System, MEBCIS, presented in this paper relies on an innovative technique of extracting two X-ray pulses with lower-and higher-energies within a single betatron acceleration cycle (in contrast to conventional dual-energy betatrons with one X-ray pulse produced during separate betatron acceleration cycles). In addition to the new betatron, new types of fast X-ray Scintillation-Cherenkov detectors, rapid processing of detector signals, an adaptive detector feedback algorithm for control of the betatron, and algorithms for intelligent material discrimination are parts of the overall MEBCIS system. The key advantage of the MEBCIS concept is that the material discrimination data is acquired in a single scan line rather than two. Thus, for the same betatron pulse rate, the scan rate can be twice as fast (better throughput) or can be done with a lower dose, even without adaptive dynamic pulse adjustment. Application of these techniques will maximize material discrimination, penetration, and contrast resolution while simultaneously reducing dose to the environment, resulting in a smaller exclusion zone

关键词： Homeland security Cargo inspection X-ray radiography Material discrimination Betatron X-ray detectors

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Microscopic image contrast and brightness enhancement using multi-scale retinex and cuckoo search algorithm 4th

Microscopic image contrast and brightness enhancement using ...

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4th International Conference on Eco-Friendly Computing and Communication systems (ICECCS)

作者： Biswas, Biswajit Roy, Pritha Choudhuri, Ritamshirsa Sen, Biplab Kanti Univ Calcutta Dept Comp Sci & Engn 92 APC Rd Kolkata 70009 India Barjora Girls High Sch Barjora 722202 Bankura India

image enhancement is widely used technique to analyze various types of digital photography (e.g. biomedical, microscopic, remote sensing, and etc.) in domain of digital imaging processing. This paper proposes a new contrast and brightness enhancement technique based on Cuckoo Search (CS) and Multi-scale Retinex (MSR) algorithm for quality improvement of the microscopic images. Practically, the MSR generally delivers the similar parametric value to the Gaussian filters with different scales. Consequently, it not suitable for the superior enhancement in different circumstances. To handle this problem, we utilize CS to select fittest parametric values to optimize the performance of MSR. The optimization of parameter selection is significantly balances the imperfections of the scale parameters in Gaussian filters. The experimental results show the excellence of the proposed method in enhancement in terms of PSNR, MSE, Mean and Standard Deviation compared with performance of conventional MSR and other state-of-art techniques. (C) 2015 The Authors. Published by Elsevier B.v. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/)

关键词： Microscopic image image enhancement multi-scale retinex gaussian filter cuckoo search particle swarm optimization artificial bee colony algorithms

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New method of tumor extraction using a histogram study

New method of tumor extraction using a histogram study

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SAI Intelligent systems Conference, IntelliSys 2015

作者： Sara, Sandabad Achraf, Benba Yassine, Sayd Tahri Ahmed, Hammouch Laboratory LRGE ENSET Mohamed v University Rabat Morocco

ISBN: (纸本)9781467376068

The tumor location, evaluation of its shape, its position and its interactions with close brain structures, etc., are medical acts very important and in great demand. Clinical Tools brain's observation areas are now numerous, like X-ray scanner, magnetic resonance imaging (MRI), computed tomography and scintigraphy. Among these techniques, MRI is the increasingly used. This non-invasive technique exploits the magnetic properties of tissues and allows the observation of brain anatomy. The resulting image with high resolution allows the precise location of the various structures. Actually MRI technology allows to have digital images with image restoration "of the material" necessary for the implementation of processing and analysis algorithms that helps in the diagnosis of brain tumors. The real challenge is to accurately detect the tumor area. In this article we present a new method for detecting and segmenting tumor regions. This method consists of two steps: a) study and histogram analysis of the MRI image to find a threshold of intensity which can help us to extract tumor;b) tumor detection and extraction. Our method will be completed by a characterization of the tumor area by determining its geometric properties. © 2015 IEEE.

关键词： Tumors

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THE AUTOMATION OF THE PROCESS OF LAND AREA CHANGE DETECTION IN PERMANENT MONITORING systems

THE AUTOMATION OF THE PROCESS OF LAND AREA CHANGE DETECTION ...

引用

ISPRS Geospatial Week

作者： Areshkina, L. v. Belazerskii, L. A. Oreshkin, N. United Inst Informat Problems United Inst NAS Minsk 220012 BELARUS Artec Grp L-1466 Luxembourg Luxembourg

ISBN: (纸本)9781629935201

A new automation process for change detection of land area is proposed. The method is based on the use of multitemporal satellite images and their histograms. The proposed discrete representation of land area in small image fragments makes it possible to detect changes automatically within each fragment. This method provides improvements of change detection accuracy and simplifies the software realization by unifying recursively performed processing. In this article the method of difference images and its adaptation for automatic applications is also analysed. In particular, a complementary pair of images is proposed as the main presentation of a difference image which allows automatic separation of the changes of ground objects without loss or distortion. The use of the histograms obtained by variations of image brightness (increasing and decreasing) provides opportunities for the assessment and experimental verification of existing approaches in the selection of automatic detection thresholds. The assessment of the implementations of the algorithms of Kittler, Kapur, Otsu, and the method of mean risk minimum demonstrate the instability of their solutions, wide variance in of results, as well as inconsistencies with the visual approaches to the selection of the binarization thresholds. A new algorithm for the automatic detection and analysis of the brightness changes of land areas is proposed. As a result, the automation of detection of each brightness change of a given land area is achieved in all available spectral channels of satellite imagery.

关键词： Land area Difference image Space imagery Change detection

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Development of Neuromorphic SIFT Operator with Application to High Speed image Matching

Development of Neuromorphic SIFT Operator with Application t...

引用

International Conference on Sensors and Models in Remote Sensing and Photogrammetry

作者： Shankayi, M. Saadatseresht, M. Bitetto, M. A. v. Univ Tehran Geomat Engn Fac Tehran Iran Inst Cybernet Res Inc Robot & Control Syst Dept New York NY USA

ISBN: (纸本)9781629935201

There was always a speed/accuracy challenge in photogrammetric mapping process, including feature detection and matching. Most of the researches have improved algorithm's speed with simplifications or software modifications which increase the accuracy of the image matching process. This research tries to improve speed without enhancing the accuracy of the same algorithm using Neuromorphic techniques. In this research we have developed a general design of a Neuromorphic ASIC to handle algorithms such as SIFT. We also have investigated neural assignment in each step of the SIFT algorithm. With a rough estimation based on delay of the used elements including MAC and comparator, we have estimated the resulting chip's performance for 3 scenarios, Full HD movie (videogrammetry), 24 MP (UAv photogrammetry), and 88 MP image sequence. Our estimations led to approximate 3000 fps for Full HD movie, 250 fps for 24 MP image sequence and 68 fps for 88MP Ultracam image sequence which can be a huge improvement for current photogrammetric processing systems. We also estimated the power consumption of less than10 watts which is not comparable to current workflows.

关键词： Neuromorphics SIFT image Matching FPGA Neural Network

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Fuzzy Inference System Based Robust Digital image Watermarking Technique using Discrete Cosine Transform

Fuzzy Inference System Based Robust Digital Image Watermarki...

引用

International Conference on Information and Communication Technologies (ICICT)

作者： Jagadeesh, B. Kumar, P. Rajesh Reddy, P. Chenna GVP Coll Engn ECE Dept Visakhapatnam Andhra Pradesh India Andhra Univ ECE Dept Visakhapatnam Andhra Pradesh India JNTUA Coll Engn CSE Dept Kadapa AP India

Digital Watermarking has evolved as one of the latest technologies for digital media copyright protection. Watermarking of images can be done in many ways and one of the proposed algorithms for image watermarking is by utilizing Fuzzy Logic. It is similar to the concept of a Fuzzy set, each element can be defined by an ordered pair, in which one is the value and other is the membership function value. Fuzzy logic systems can explain inaccurate information and explain their decisions. Fuzzy inference system is the simplest way of performing Fuzzy Logic. In the proposed method, three Fuzzy inference models are used to generate the weighing factor for embedding the watermark and input to the Fuzzy Inference System is taken from the Human visual System model. The Performance measures used in the Process are Peak Signal to Noise Ratio, Normalized Cross Correlation. The Proposed algorithm is immune to various image processing attacks. (C) 2015 The Authors. Published by Elsevier B.v.

关键词： Digital image Watermarking Discrete Cosine Transform Human visual System Fuzzy Inference System Normalized Cross Correlation Peak Signal to Noise Ratio

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Precision Aerial Delivery systems: Modeling, Dynamics, and Control

引用

丛书名： Progress in Astronautics and Aeronautics

2015年

作者： Oleg A. Yakimenko

ISBN: (数字)9781624101960

ISBN: (纸本)9781624101953

Precision Aerial Delivery systems: Modeling, Dynamics, and Control provides an overview of the recent developments in precision aerial cargo delivery from the standpoint of developing guidance, navigation and control (GNC) algorithms for the self-guided parafoil and parachute-based aerial delivery systems (PADS). Developing a robust GNC system involves aerodynamics modeling, structural and parametric system identification, understanding the environment PADS glides through developing and testing suitable navigation solutions, guidance strategies, and controllers. Introduction of ram-air gliding parachutes in sportive sky diving in the early 1970s ended the era of round canopies. Availability of GPS in the late 1990s opened an era of autonomous vehicles, which boosted an interest in self-guided PADS. A substantial improvement in achieving a better landing accuracy demonstrated by the different-weight PADS during the last decade expanded the area of their potential usage. Miniaturization and availability of sensors allowed developing micro-light PADS that not only have their own market niche, but make it possible for universities to utilize these systems in their curricula and research along with other unmanned vehicles. Thus the intended audience for this book is not only professionals and researchers, but graduate and postgraduate students working in the areas of aerial systems modeling and GNC algorithms design as well. The book is coauthored by eleven experts and addresses the following topics:

关键词： Actuators Aerobatic Maneuvers Aerobatics Aerodynamic Performance Aerodynamics Aeronautical Engineering Aeronautics Aerospace Sciences Air Forces Air Navigation Air Sports Aircraft Components and Structure Aircraft Conceptual Design Aircraft Control Aircraft Design Aircraft Instruments Aircraft Navigation Equipment Aircraft Navigation systems Aircraft Operations Aircraft Operations and Technology Aircraft Performance Aircraft Stability and Control Aircraft systems Aircraft Wing Design Aircrafts Aircrew Airfoil Airspeed Artificial Intelligence Aviation Aviation Authorities and Organizations Aviation Communication Aviation Meteorology Aviation Safety Avionics Avionics Computers Boundary Layers Civil Aviation Commercial Aviation Communication System Communication Technology and Equipment Computational Fluid Dynamics Computer Graphics Computer Storage Devices Computing and Informatics Computing, Information, and Communication Control systems Control Theory Data Acquisition Data Science Dynamic Stability Control Entry, Descent and Landing Flight Control Surfaces Flight Dynamics Flight Management System Flight Mechanics Flight Test Flow Regimes Fluid Dynamics Fluid Mechanics Fluid Structure Interaction GNSS Augmentation GPS Receivers Global Navigation Satellite System Global Positioning System Guidance and Navigational algorithms Guidance, Navigation, and Control systems Human-Computer Interaction Human-Machine Interaction image processing Inertial Measurement Unit Integrated Circuits Kalman Filter Longitudinal Static Stability Military Aviation Nonlinear Control Theory Numerical Analysis Operating systems Optimal Control Theory RADAR Satellite Navigation systems Semiconductor Devices Sensors Signal processing Slip (Aerodynamics) Software systems Spacecraft Guidance and Control Stability Augmentation systems Streamlines Flow systems Software Telemetry Transducers Transmitters Unmanned Aerial vehicle vortex Dynamics Wind Tunnels Wing Configurations Wing Planforms

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Improving depth estimation from a plenoptic camera by patterned illumination 13

Improving depth estimation from a plenoptic camera by patter...

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Conference on videometrics, Range Imaging, and Applications XIII

作者： Marshall, Richard J. Meah, Chris J. Turola, Massimo Claridge, Ela Robinson, Alex Bongs, Kai Gruppetta, Steve Styles, Iain B. Univ Birmingham PSIBS Doctoral Training Ctr Edgbaston England City Univ London Sch Hlth Sci Optometry Div London EC1V 0HB England Univ Birmingham Sch Comp Sci Edgbaston England Univ Birmingham Sch Chem Engn Edgbaston England Univ Birmingham Sch Phys & Astron Edgbaston England

ISBN: (纸本)9781628416886

Plenoptic (light-field) imaging is a technique that allows a simple CCD-based imaging device to acquire both spatially and angularly resolved information about the 鈥渓ight-field鈥?from a scene. It requires a microlens array to be placed between the objective lens and the sensor of the imaging device1 and the images under each microlens (which typically span many pixels) can be computationally post-processed to shift perspective, digital refocus, extend the depth of field, manipulate the aperture synthetically and generate a depth map from a single image. Some of these capabilities are rigid functions that do not depend upon the scene and work by manipulating and combining a well-defined set of pixels in the raw image. However, depth mapping requires specific features in the scene to be identified and registered between consecutive microimages. This process requires that the image has sufficient features for the registration, and in the absence of such features the algorithms become less reliable and incorrect depths are generated. The aim of this study is to investigate the generation of depth-maps from light-field images of scenes with insufficient features for accurate registration, using projected patterns to impose a texture on the scene that provides sufficient landmarks for the registration methods. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

关键词： Cameras Sensors Projection systems Imaging systems image registration Microlens array image processing Imaging devices Microlens CCD cameras

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Comparative Analysis of Methods for the Log Boundaries Isolation 12

Comparative Analysis of Methods for the Log Boundaries Isola...

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12th International Conference on Informatics in Control Automation and Robotics (ICINCO)

作者： Kruglov, Artem v. Chiryshev, Yuriy v. Ural State Univ Inst Radioelect & Informat Technol Mira St 32 Ekaterinburg Russia

ISBN: (纸本)9789897581496

The scrutiny of boundaries isolation methods is presented in this paper. The newly developed algorithms, based on regression analysis and integral projection are compared with Hough transform in order to analyze their effectiveness for the specific problem of moving logs control. The comparative analysis of the methods was carried out on the database of images obtained from video sequence of real industrial process by the criteria of accuracy and operation speed. Results of the test show that the line-by-line scanning method with posterior LOWESS regression analysis has the best accuracy. However, the best appropriate for the implementation in the real-time control systems based on machine vision technology is consecutive line selection method due to its reasonable accuracy and impressive performance.

关键词： image processing Boundary Detection Hough Transform Regression Analysis Integral Projection

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