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

共 2747 条记录，以下是1391-1400 订阅

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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...

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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...

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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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Comparative Analysis of Methods for the Log Boundaries Isolation 12

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

引用

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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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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On fuzzification of color spaces for medical decision support in video capsule endoscopy 26

On fuzzification of color spaces for medical decision suppor...

引用

26th Modern Artificial Intelligence and Cognitive Science Conference, MAICS 2015

作者： Surya Prasath, v.B. Computational Imaging and Visualization Analysis Lab Department of Computer Science University of Missouri-Columbia ColumbiaMO65211 United States

Advances in image and video processing algorithms and the availability of computational resources has paved the way for real-time medical decision support systems to be a reality. video capsule endoscopy is a direct imaging method for gastrointestinal regions and produces large scale color video data. Fuzzification of color spaces can improve contextual description based tasks that are required in medical decision support. We consider abnormalities detection in video capsule endoscopy using fuzzy sets and logic theory on different colorspaces. Application in retrieval of bleeding detection and polyp vascularization are given as examples of the methodology considered here and preliminary results indicate we obtain promising retrieval results.

关键词： Decision support systems

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User Aided Approach for Shadow and Ghost Removal in Robust video Analytics 49

User Aided Approach for Shadow and Ghost Removal in Robust V...

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49th Annual Convention of Computer-Society-of-India - Emerging ICT for Bridging the Future

作者： Narayana, I. Lakshmi vasavi, S. Rao, v. Srinivasa Velagapudi Ramakrishna Siddhartha Engn Coll Dept Comp Sci & Engn Vijayawada India

ISBN: (纸本)9783319137315;9783319137308

In almost all computer vision applications moving objects detection is the crucial step for information extraction. Shadows and ghosts will often introduce errors that will certainly effect the performance of computer vision algorithms, such as object detection, tracking and scene understanding. This paper studies various methods for shadows and ghost detection and proposes a novel user-aided approach for texture preserving shadows and ghost removal from surveillance video. The proposed algorithm addresses limitations in uneven shadow and ghost boundary processing and umbra recovery. This approach first identifies an initial shadow/ghost boundary by growing a user specified shadow outline on an illumination-sensitive image. Interval-variable pixel intensity sampling is introduced to eliminate anomalies, raised from unequal boundaries. This approach extracts the initial scale field by applying local group intensity spline fittings around the shadow boundary area. Bad intensity samples are substituted by their nearest intensities based on a log-normal probability distribution of fitting errors. Finally, it uses a gradual colour transfer to correct post-processing anomalies such as gamma correction and lossy compression.

关键词： Shadow and ghost removal user-assisted spline fittings interval variable

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Implementation of Detection and Tracking Mechanism For Small UAS

Implementation of Detection and Tracking Mechanism For Small...

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International Conference on Unmanned Aircraft systems

作者： Sai Ram Ganti Yoohwan Kim Department of Computer Science University of Nevada Las Vegas NV USA

ISBN: (纸本)9781467393355

Unmanned Aircraft systems (UAS) are being used commonly for video surveillance, providing valuable video data and reducing the risks associated with human operators. Thanks to its benefits, the UAS traffic is nearly doubling every year. However, the risks associated with the UAS are also growing. According to the FAA, the volume of air traffic will grow steadily, doubling in the next 20 years. Paired with the exponential growth of the UAS traffic, the risk of collision is also growing as well as privacy concerns. An effective UAS detection and/or tracking method is critically needed for air traffic safety. This research is aimed at developing a system that can identify/detect a UAS, which will subsequently enable counter measures against UAS. The proposed system will identify a UAS through various methods including image processing and mechanical tracking. Once a UAS is detected, a countermeasure can be employed along with the tracking system. In this research, we describe the design, algorithms, and implementation details of the system as well as some performance aspects. The proposed system will help keep the malicious or harmful UAS away from the restricted or residential areas.

关键词： UAS (Unmanned Aircraft systems) Air Traffic Safety Detection Tracking Automatic Target Recognition image processing

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Robust Target Tracking Algorithm for MAv Navigation System

Robust Target Tracking Algorithm for MAV Navigation System

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International Conference on Industrial Instrumentation and Control

作者： Sankarasrinivasan, S. Balasubramanian, E. Hsiao, F. Y. Yang, L. J. Vel Tech Univ Ctr Autonomous Syst Res Res Pk Chennai Tamil Nadu India Tamkang Univ Dept Mech & Electromech Engn Tamsui Taiwan

ISBN: (纸本)9781479971657

Micro Aerial vehicles (MAv's) are becoming ubiquitous with its ever increasing applications in defense, space and environmental sectors. In real time scenario, MAv's are expected to perform autonomously and development of intelligent algorithms meant for pattern recognition and object tracking are most demanding. This work concentrates on the development of vision based navigation system for real time target tracking using MAvs. The target is identified based on its color feature and various color models namely RGB, Normalized RGB, HSI, YUv, YIQ, YCbCr, CIELAB and CIELUv are considered for thresholding analysis. The idea is to frame an effective image processing algorithm concerning thresholding time and accuracy. In addition, the robustness of the color models for various noises such as fast fading, gaussian blur, jpeg, jp2k and white noise are also investigated. Simulation results suggests that, Y based color models exhibits less thresholding time, good accuracy and robust to noise. The target tracking algorithm is developed using optimum color model and justified through real time experimentation. A MATLAB (Matrix Laboratory) based navigation system is developed encompassing micro camera, A/v transmitter and receiver unit, flight controller, image processing system and other interfacing circuits. The navigation system is successfully tested in our lab environments and it is proven to be a realizable and a cost effective solution.

关键词： COLOR MODEL Target tracking Navigation systems color feature navigation realizable MATLAB Noise white noise laboratory environment KLHL2 gene

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