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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VII"

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A Novel Three-dimensional Indoor Localization Algorithm Based on Visual Visible Light Communication Using Single LED

A Novel Three-dimensional Indoor Localization Algorithm Base...

引用

IEEE International conference on Automation, Electronics and Electrical Engineering (AUTEEE)

作者： Weipeng Guan Shangsheng Wen Hanlin Zhang Lizhao Liu School of Automation Science and Engineering South China University of Technology Guangzhou Guangdong China School of Materials Science and Engineering South China University of Technology Guangzhou Guangdong China School of Computer Science and Engineering South China University of Technology Guangzhou Guangdong China School of Software Engineering South China University of Technology Guangzhou Guangdong China

ISBN: (纸本)9781538678626;9781538678619

Visible light positioning (VLP) is widely believed to be a cost-effective answer to the growing demand for Indoor positioning. However, because of the nonlinear and highly complicated relationship between 3D world coordinate and 2D image coordinate, there is a need to develop effective VLP location algorithm to locate the positioning terminal using image sensor. Besides, due to the high computational cost of image processing, most existing VLP systems fail to deliver satisfactory performance in terms of real-time ability and positioning accuracy, both of which are crucial for the performance of indoor positioning system. The field of view (FOV) of image sensor affects the number of LEDs. Therefore, this paper proposes an image-sensor-based single-light positioning system and sets up relevant experiments to test the proposed system. What's more, the real-time ability is taken into consideration, which greatly improves the robustness and practicality of the system. As for the ID information of each LED, it utilizes the rolling shutter mechanism of the Complementary Metal Oxide Semiconductor (CMOS) image sensor and combines machine learning algorithm to identify. Different from the traditional LED-ID modulation and demodulation methods, the LED-ID detection and recognition problem was treated as a classification problem in machine learning filed. In this paper, two typical linear classifiers in the case of binary classification problem are introduced. As the features of different LED-ID is linear separable in the feature space, linear classifiers are used to identify the LED-ID. The scheme proposed could improve the speed of LED-ID identification and the robustness of the system by off-line training for the classifiers and online recognition of LED-ID. When there's only one LED in the camera image, it means the distance between the terminal and LED is so close that the diameter of the LED can be measured. Therefore, it is able to use the proposed single-light positioni

关键词： Light emitting diodes image sensors Cameras Robustness Real-time systems Machine learning algorithms Machine learning

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An efficient image watermarking scheme using the Laplacian Pyramid based on projection

An efficient image watermarking scheme using the Laplacian P...

引用

2017 International conference on Recent Advances in Signal processing, Telecommunications and Computing, SigTelCom 2016

作者： Nguyen, Sy C. Kha, Ha Hoang Nguyen, Hoang M. Faculty of Electrical and Electronics Engineering Ho Chi Minh City University of Technology VNU-HCM Viet Nam Faculty of Management Information Systems Banking University of HCM City Viet Nam

ISBN: (纸本)9781509022915

The digital image watermarking technology is widely used to protect intellectual property and to authenticate digital contents in the network environment. The aim of the paper is to invoke the improved Laplacian Pyramid transform to develop a new image watermarking scheme. Specifically, the host image is decomposed and reconstructed by using the improved Laplacian Pyramid transform. Then, the mid frequency subband data with the appropriate level and strength factor are chosen to embed the watermark. Finally, we conduct experiments to investigate the invisibility and robustness of the proposed algorithm. To measure the invisibility and the robustness of the algorithms, we use the peak signal-to-noise ratio (PSNR) and normalized correlation (NC) as performance metrics. Experimental results demonstrate that invisibility and robustness are guaranteed. The proposed algorithm outperforms one based on curvelets for the lossy JPEG compression attack in terms of invisibility and robustness. © 2017 IEEE.

关键词： image watermarking

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NASA Technical Reports Server (Ntrs) 19880014804: Third conference on Artificial Intelligence for Space Applications, Part 2

引用

2017年

NASA Technical Reports Server (Ntrs) 19880014804: Third conference on Artificial Intelligence for Space Applications, Part 2 by NASA Technical Reports Server (Ntrs); published by

关键词： (ntrs) 19880014804: adaptive control algorithms applications, architecture (computers) artificial computer programs conference conferences denton, judith s. [compiler] distributed processing expert systems freeman, michael s. [compiler] hubble space telescope image processing monitors nasa technical reports server (ntrs) neural nets real time operation space stations vereen, mary [compiler]

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Blind image Quality Assessment designed by learning-based attributes selection 25

Blind Image Quality Assessment designed by learning-based at...

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25th Color and Imaging conference: Color Science and Engineering systems, Technologies, and Applications, CIC 2017

作者： Charrier, Christophe Saadane, Abdelhakim Fernandez-Maloigne, Christine Normandie Univ. UNICAEN ENSICAEN CNRS GREYC Caen14000 France Université de Nantes XLIM UMR CNRS 7252 France Université de Poitiers XLIM UMR CNRS 7252 France

ISBN: (纸本)9780892083282

With the rapid growth of image processing technologies, objective image Quality Assessment (IQA) is a topic where considerable research effort has been made over the last two decades. IQA algorithms based on image structure have been shown to correlate well with Mean Opinion Scores (MOS). No-Reference (NR) image quality metrics are of fundamental interest as they can be embedded in practical applications This paper deals with a new NR-IQA metric based on natural scenes statistics. It proposes to model the best correlated statistics of seven well known no-reference image quality algorithms by a MultiVariate Gaussian Distribution (MVGD). A part of LIVE database is used with the associated DMOS to fit the MVGD model, namely Model image Quality Index (MIQI). Hence, the quality of a distorted image is given by the DMOS that maximizes the multivariate Gaussian probability density function. Experimental results demonstrate the method effectiveness for a wide variety of distortions. © 2017 Society for Imaging Science and Technology.

关键词： image quality

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An Effective Enhancement and Segmentation of Coronary Arteries in 2D Angiograms

An Effective Enhancement and Segmentation of Coronary Arteri...

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International conference on Smart Computing and Electronic Enterprise (ICSCEE)

作者： Sammer Zai Asad Abbas Mehran University of Engineering and Technology Dept. of Computer Systems Engineering Jamshoro Pakistan Dept. of Software Engineering Hanyang University Ansan South Korea

ISBN: (纸本)9781538648391

Vessel enhancement in two-dimensional angiogram images is an essential pre-requisite step towards the isolation of coronary arteries. Hessian-based filters are the most commonly used vessel enhancement filters; however, these filters are more sensitive to noise and suppress the bifurcation regions. Suppression of bifurcation regions results in disconnected vessels. In this study, we present a technique that enhances the arteries of the heart in 2D angiograms and also refines the noisy vesselness obtained through Frangi's method by using guided filter which produces more enhanced image that can be used as an effective pre-processing step for binarization of the Frangi vessel response having less discontinuities and joint suppression. The proposed approach makes use of the guided filter which smooths the edges, and at the same time preserves the edges as well for the enhancement of vessels. Following this filter, an Adaptive thresholding is applied to segment the coronary arteries from the angiogram. The proposed method has been tested on real angiography images and the efficiency of the method has been shown qualitatively as well as quantitatively.

关键词： Arteries image segmentation Maximum likelihood detection Nonlinear filters Two dimensional displays Filtering algorithms Bifurcation

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Sub-pixel X-marker detection by Hough transform

Sub-pixel X-marker detection by Hough transform

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Iranian conference of Biomedical Engineering (ICBME)

作者： Ali Yazdani Hojjat Aalizadeh Farshid Karimi Saeed Solouki Hamid Soltanian-Zadeh School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence(CIPCE) School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781538679531;9781538679524

High precision center detection of X-markers is required in many applications such as navigation surgery systems and camera calibration. Hough transform is a preferable tool for extracting intersecting lines in an image, which leads to center detection. In this paper, we detect X-marker centers by the sub-pixel precision, using Hough transform. Switching to Hough space helps us to apply processes like thresholding, filtering and weighted averaging on coordinates. The algorithm involves two parameters `Hough Size' and `Filter Size' required to be adjusted for best performance of the algorithm. A dataset of 900 images is used and best performance is achieved by values of 180 and 23 for the above parameters, respectively. Using this setting, 90.8% of the centers are detected successfully by the sub-pixel precision. The average distance between detected centers and reference centers is 0.51 pixels. This suggests that the proposed algorithm has the potential to be utilized for sub-pixel marker detection.

关键词： image edge detection Transforms Feature extraction Cameras Biomedical engineering Calibration Filtering algorithms

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algorithms for People Recognition in Digital images: A Systematic Review and Testing 5th

Algorithms for People Recognition in Digital Images: A Syste...

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5th World conference on Information systems and Technologies (WorldCIST)

作者： Intriago-Pazmino, Monserrate Vargas-Sandoval, Vanessa Moreno-Diaz, Jorge Salazar-Jacome, Elizabeth Salazar-Grandes, Mayra Escuela Politec Nacl Dept Informat & Ciencias Comp Quito Ecuador Escuela Politec Nacl Fac Ingn Sistemas Quito Ecuador Univ Fuerzas Armadas ESPE Dept Ciencias Exactas Latacunga Ecuador Univ Fuerzas Armadas ESPE Dept Elect & Elect Latacunga Ecuador

ISBN: (纸本)9783319565385;9783319565378

People recognition in digital images has wide applications and challenges. In this article, we present a systematic review of works published in the last decade;based on which, we have identified, implemented and tested the frequently used and best-assessed algorithms. We have found Histograms of Oriented Gradients (HOG) like feature extraction algorithm;and two classification algorithms, AdaBoost and Support Vector Machine (SVM). The tests were performed on 50 images chosen randomly from Penn-Fudan public database. The accuracy in SVM-HOG combination was 0.96, it is a similar value to a related work;and the detection rate was 0.66 in SVM-HOG combination and 0.72 in Adaboost-HOG combination, they are inferior to related works. We shall discuss possible reasons.

关键词： People recognition Human recognition Pedestrian recognition Systematic review Computer vision Digital image processing

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Acquisition of mouse optical structures in vivo with the aid of registered atlas 7

Acquisition of mouse optical structures <i>in vivo</i> with ...

引用

conference on Optics in Health Care and Biomedical Optics vii

作者： Wan, Wenbo Gao, Feng Tianjin Univ Sch Precis Instrument & Optoelect Engn Tianjin 300072 Peoples R China Tianjin Key Lab Biomed Detecting Tech & Instrumen Tianjin 300072 Peoples R China

ISBN: (纸本)9781510604674;9781510604681

In fluorescence molecular tomography (FMT), the reconstruction results can greatly benefit from a priori information of accurate tissue optical-structures, which is difficult to be obtained in vivo with the traditional diffuse optical tomography (DOT) alone. One of the solutions is to apply a priori anatomical-structures obtained with anatomical imaging systems such as X-ray computed tomography (XCT) to constrain the reconstruction process of DOT. However, since the X-ray imaging mechanism limits the contrast between soft-tissues, it is difficult to segment the abdominal organs from XCT images. In order to overcome the challenges, the anatomical-structures of a target mouse are approximately obtained through registering a standard mouse anatomical atlas, i.e., the Digimouse, to its XCT volume with non-rigid image registration, and the optical-structures of the target mouse is approximately estimated through anatomical-structures guided time-resolve DOT strategy. Results of numerical simulations reveals that the an effective target atlas can be obtained through the registration method, and the results show that the absorption and reduced scattering coefficients of each organs can be recovered with reasonable accuracies.

关键词： biomedical optical imaging computed tomography image registration medical image processing

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20 Years of Progress in Video Compression - from MPEG-1 to MPEG-H HEVC. General View on the Path of Video Coding Development 8th

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8th International conference on image processing and Communications (IP&C)

作者： Karwowski, Damian Grajek, Tomasz Klimaszewski, Krzysztof Stankiewicz, Olgierd Stankowski, Jakub Wegner, Krzysztof Poznan Univ Tech Chair Multimedia Telecommun & Microelect Polanka 3 St PL-60965 Poznan Poland

ISBN: (纸本)9783319472744;9783319472737

Compression of moving images has opened unprecedented opportunities of transmission and storage of digital video. Extraordinary performance of today's video codecs is a result of tens of years of work on the development of methods of data encoding. This paper is an attempt to show this history of development. It highlights the history of individual algorithms of data encoding as well as the evolution of video compression technologies as a whole. With the development of successive technologies also functionalities of codecs were evolving, which make also the topic of the paper. The paper ends the attempt of authors' forecasting about the future evolution of video compression technologies.

关键词： image compression

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Cloud-based Platform for Computer Vision Applications 17

Cloud-based Platform for Computer Vision Applications

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International conference on Smart Digital Environment (ICSDE)

作者： Mahmoudi, Sidi Ahmed El Adoui, Mohammed Belarbi, Mohammed Amin Larhmam, Mohammed Amine Lecron, Fabian Univ Mons Mons Belgium

ISBN: (纸本)9781450352819

During last years, images and videos have become widely used in many daily applications. Indeed, they can come from cameras, smartphones, social networks of from medical devices. Generally, these images and videos are used for illustrating people or objects (cars, trains, planes, etc.) in many situations such as airports, train stations, public areas, sport events, hospitals, etc. Thus, image and video processing algorithms have got increasing importance, they are required from various computer visions applications such as motion tracking, real time event detection, database (images and videos) indexation and medical computer aided diagnosis methods. In this paper, we propose a cloud platform that integrates the above-mentioned methods, which are generally developed with popular open source image and video processing libraries (OpenCV(1), OpenGL(2), ITK3, VTK4, etc.). Theses modules are automatically integrated and configured in the cloud application. Thus, the platform users will have access to different computer vision techniques without the need to download, install and configure the corresponding software. Each guest can select the required application, load its data and get the output results in a safe and simple way. The cloud platform can handle the variety of Operating systems and programming languages (C++, Java, Python, etc.). Experimentations were conducted within two kinds of applications. The first represents medical methods such as image segmentation in MR images, 3D image reconstruction from 2D radiographs, left ventricle segmentation and tracking from 2D echocardiography. The second kind of applications is related to video processing such as face, people and cars tracking, and abnormal event detection in crowd videos.

关键词： Cloud computing image and video processing video surveillance medical image analysis

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