检索结果-内蒙古大学图书馆

IEEE Ukraine conference on Electrical and Computer Engineering (UKRCON)

作者： V. K. Volosyuk S. S. Zhyla Aircraft Radio-Electronic Systems Design Zhukovsky National Aerospace University “KhAI” Kharkiv Ukraine

Synthetic aperture radar (SAR) is a widely used technique suited for real-time and all-weather imaging of natural surfaces and artificial objects. To improve image resolution and increase accuracy of radar cross section estimation the problem of statistical synthesis of signal processing algorithm in SAR is solved. Proposed method allows to form images with super-resolution in azimuth and range. Synthesis is performed using modern theory of radio engineering systems statistical optimization.

关键词： Synthetic aperture radar Radar cross-sections Signal processing algorithms Radar imaging Scattering Surface treatment

来源：评论

学校读者我要写书评

暂无评论

An Autonomous, Target-Detecting, Fixed-Wing UAS for Simulated Search-and-Rescue Missions

An Autonomous, Target-Detecting, Fixed-Wing UAS for Simulate...

引用

IEEE International conference on Cyber Technology in Automation, Control, and Intelligent systems

作者： Chase R. Yasunaga Kalani R. Danas Rivera Joseph D. Harris Marte A. Martinez, Jr. Stephen L. J. Mau Reyn H. Mukai Kevin Y. Sonoda Wayne A. Shiroma A. Zachary Trimble College of Engineering University of Hawaii Manoa

A student-built unmanned aerial system (UAS) was developed by the University of Hawaii Drone Technologies team for the 2017 Association for Unmanned Vehicle systems International (AUVSI) Student Unmanned Aerial System (SUAS) competition, which simulates a search-and-rescue (SAR) mission. The UAS comprises a fixed-wing airframe integrated with flight control and communication components, and is capable of autonomous waypoint navigation, in-flight data transfer, aerial image capture with onboard image processing, and aerial payload delivery. The UAS is capable of executing a 30-minute SAR mission in search of a simulated lost hiker. SAR tasks include autonomously navigating to a designated area, conducting a search for alphanumeric targets over a 370,000-m~2 search area, and autonomously dropping an 8-oz care package to the lost hiker. image-processing and computer-vision algorithms can correctly sense and identify the alphanumeric targets with 75% accuracy.

关键词： Drones Aircraft Aerospace electronics Aerospace control Safety image color analysis Control systems

来源：评论

学校读者我要写书评

暂无评论

New Methods and algorithms of Search,Detection and Tracking of Moving Point Targets along a Complex Path on a Complex Background

New Methods and Algorithms of Search,Detection and Tracking ...

引用

2017 International conference on Mathematics, Modelling and Simulation Technologies and Applications（MMSTA 2017)

作者： Maksim KHISAMUTDINOV Anatoly KALYAEV Iakov KOROVIN Southern Federal University

The article is devoted to solving the fundamental scientific problems of developing universal methods of video sequence processing for the detection and tracking of objects of *** work on the subject,authors designed new methods and algorithms for universal monitoring systems for wide range of objects in the video sequences which could be implemented at miniaturized data processing *** this paper we describe a new method of search and recognition of point objects on a complex background,a new algorithm for the analysis of the found set of descriptors of local features to filter false positives filter local features,object detection criterion in the image,a new algorithm for the analysis of the trajectory of a point object on the basis of a recursive Kalman filter to predict the trajectory the movement of point objects.

关键词： Search and recognition image and pattern recognition complex background video sequence handling

来源：评论

学校读者我要写书评

暂无评论

Large scale visual classification with SVM, create the unique article through NLP

Large scale visual classification with SVM, create the uniqu...

引用

International conference on Advances in ICT for Emerging Regions

作者： M.A.N. Madushani Faculty of Information Technology University of Moratuwa

Lack of Proper Information around Sri Lankan Historical Places cause to give false information. If ruins scattered around same place tourists are struggling to identify them. Sometimes there are small sign boards but they don't provide enough information. In this paper we address this challenge by using user captured image or search imaged. Our approach is produced a single document about identified places. System identify the places through training dataset using SVM. System will increase the accuracy of prediction by taking GPS data and user inputs necessarily. The evaluation shows that our approach is more accurate than the existing systems.

关键词： Support vector machines Visualization Natural language processing Detectors Engines image processing Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

Development of a prototype chest digital tomosynthesis R/F system

Development of a prototype chest digital tomosynthesis R/F s...

引用

conference on Medical Imaging - Physics of Medical Imaging

作者： Choi, Sunghoon Lee, Haenghwa Lee, Donghoon Choi, Seungyeon Shin, Jungwook Jang, Woojin Seo, Chang-Woo Kim, Hee-Joung Yonsei Univ Dept Radiol Sci Coll Hlth Sci Wonju South Korea Yonsei Univ Dept Radiat Convergence Engn Coll Hlth Sci Wonju South Korea LISTEM Corp 94 Donghwagongdan Ro Wonju South Korea

ISBN: (数字)9781510607101

ISBN: (纸本)9781510607095;9781510607101

Digital tomosynthesis has an advantage of low radiation dose compared to conventional computed tomography (CT) by utilizing small number of projections (similar to 80) acquired over a limited angular range. It can produce 3D volumetric data although they may have some artifacts due to incomplete sampling. Based upon these attractive merits, we developed a prototype digital tomosynthesis R/F system especially for the purpose of applications in chest imaging. Prototype chest digital tomosynthesis (CDT) R/F system contains an X-ray tube with high power R/F pulse generator, flat-panel detector, R/F table, electromechanical radiographic subsystems including precise motor controller, and a reconstruction server. For image reconstruction, users could select the reconstruction option between analytic and iterative methods. Reconstructed images of Catphan700 and LUNGMAN phantoms clearly and rapidly described the internal structures of the phantoms using graphics processing unit (GPU) programming. Contrast-to-noise ratio (CNR) values of the CTP682 module was higher in images using the simultaneous algebraic reconstruction technique (SART) than those using filtered back-projection (FBP) for all materials by factors of 2.60, 3.78, 5.50, 2.30, 3.70, and 2.52 for air, lung foam, low density polyethylene (LDPE), Delrin (R) (acetal homopolymer resin), bone 50% (hydroxyapatite), and Teflon, respectively. Total elapsed times for producing 3D volume were 2.92 sec and 86.29 sec on average for FBP and SART (20 iterations), respectively. The times required for reconstruction were clinically feasible. Moreover, the total radiation dose from the system (5.68 mGy) could demonstrate a significant lowered radiation dose compared to conventional chest CT scan. Consequently, our prototype tomosynthesis R/F system represents an important advance in digital tomosynthesis applications.

关键词： Prototyping Chest X-rays Reconstruction algorithms Lung Sensors X-ray detectors Bone Foam Computed tomography Chest imaging Control systems image filtering Imaging systems

来源：评论

学校读者我要写书评

暂无评论

Sparse image Denoising Using Dictionary Constructed Based on Least Square Solution 2

Sparse Image Denoising Using Dictionary Constructed Based on...

引用

2nd IEEE International conference on Wireless Communications, Signal processing and Networking (WiSPNET)

作者： Ankarao, V. Sowmya, V. Soman, K. P. Amrita Univ Amrita Vishwa Vidyapeetham Amrita Sch Engn Ctr Computat Engn & Networking CEN Coimbatore Tamil Nadu India

ISBN: (纸本)9781509044429

Compressed sensing became a vital tool for image or signal reconstruction with less number of samples compared with the Nyquist rate. Among the existing algorithms for reconstruction of an image using compressed sensing, orthogonal matching pursuit algorithm is cost effective in terms of computational complexity. This algorithm provides a solution for overdetermined and underdetermined systems by minimizing the error functions using least square. This work concentrates on the construction of dictionary which can be used to solve the sparsity based image denoising problem. In this paper, we constructed the dictionary using least square solution subjected to thresholding conditions such as hard, soft and semi-soft. Orthogonal matching pursuit (OMP) algorithm avoids the selection of the same atom in every iteration, due to the existence of orthogonal property between the residue and the atom selected from the dictionary. Thus, OMP algorithm results in precise image reconstruction. The proposed method is validated on four standard test images, such as Lena, Boat, Barbara and Cameraman with different noises such as salt & pepper noise, Gaussian noise and speckle noise with varying the percentage of noise level from 5% to 40%. Obtained results are evaluated by the quality metric peak-to-signal-noise ratio (PSNR) and compared with the existing wavelet based sparse image denoising. The experimental evaluation shows that the proposed method is better applicable to remove the speckle noise and salt & pepper noise when compared with the existing wavelet based sparse image denoising.

关键词： Compressed sensing image denoising matching pursuit algorithm least squares

来源：评论

学校读者我要写书评

暂无评论

ASePPI, an Adaptive Scrambling enabling Privacy Protection and Intelligibility in H.264/AVC

ASePPI, an Adaptive Scrambling enabling Privacy Protection a...

引用

European Signal processing conference

作者： Natacha Ruchaud Jean-Luc Dugelay Eurecom Sophia-Antipolis France

The usage of video surveillance systems increases more and more every year and protecting people privacy becomes a serious concern. In this paper, we present ASePPI, an Adaptive Scrambling enabling Privacy Protection and Intelligibility. It operates in the DCT domain within the H.264 standard. For each residual block of the luminance channel inside the region of interest, we encrypt the coefficients. Whereas encrypted coefficients appear as noise in the protected image, the DC value is dedicated to restore some of the original information. Thus, the proposed approach automatically adapts the level of protection according to the resolution of the region of interest. Comparing to existing methods, our framework provides better privacy protection with some flexibilities on the appearance of the protected version yielding better visibility of the scene for monitoring. Moreover, the impact on the source coding stream is negligible. Indeed, the results demonstrate a slight decrease in the quality of the reconstructed images and a small percentage of bits overhead.

关键词： Privacy Encryption image coding image resolution Cameras Signal processing algorithms

来源：评论

学校读者我要写书评

暂无评论

An overview of image matching algorithms from two radically points of view 2

An overview of image matching algorithms from two radically ...

引用

2nd International conference on image processing, Applications and systems (IPAS)

作者： Dhouha, Bannour Khaled, Kaaniche Hassen, Mekki Univ Sfax Natl Sch Engn Sfax CEM Lab Sfax Tunisia Univ Sousse Natl Sch Engineers Sousse Sousse Tunisia

ISBN: (纸本)9781509016457

This paper presents a study on the exploitation of visual information from two points of view radically different. Computer vision is a branch of artificial intelligence that focuses on the extraction of useful information in an image. image matching is a fundamental aspect of many problems in computer vision. Several algorithms have been developed for this purpose. Based on this research, this paper present all the previous work reviewed.

关键词： image matching features dectection features extraction two radcally different points of view

来源：评论

学校读者我要写书评

暂无评论

Vision-based people detection using depth information for social robots: An experimental evaluation

引用

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC systems 2017年第3期14卷

作者： Ramey, Arnaud Castro-Gonzalez, Alvaro Malfaz, Maria Alonso-Martin, Fernando Salichs, Miguel A. Univ Carlos III Madrid Av Univ 30 Madrid Spain

Robots are starting to be applied in areas which involve sharing space with humans. In particular, social robots and people will coexist closely because the former are intended to interact with the latter. In this context, it is crucial that robots are aware of the presence of people around them. Traditionally, people detection has been performed using a flow of two-dimensional images. However, in nature, animals' sight perceives their surroundings using color and depth information. In this work, we present new people detectors that make use of the data provided by depth sensors and red-green-blue images to deal with the characteristics of human-robot interaction scenarios. These people detectors are based on previous works using two-dimensional images and existing people detectors from different areas. The disparity of the input and output data used by these types of algorithms usually complicates their integration into robot control architectures. We propose a common interface that can be used by any people detector, resulting in numerous advantages. Several people detectors using depth information and the common interface have been implemented and evaluated. The results show a great diversity among the different algorithms. Each one has a particular domain of use, which is reflected in the results. A clever combination of several algorithms appears as a promising solution to achieve a flexible, reliable people detector.

关键词： Social robotics people detection user detection kinect depth sensor depth image processing ROS benchmarking

来源：评论

学校读者我要写书评

暂无评论

IMU Based Adaptive Blur Removal Approach using image processing for Railway Inspection 23

IMU Based Adaptive Blur Removal Approach using Image Process...

引用

23rd International conference on systems, Signals and image processing (IWSSIP)

作者： Santur, Yunus Karakose, Mehmet Aydin, Ilhan Akin, Erhan Firat Univ Dept Comp Engn Elazig Turkey

ISBN: (纸本)9781467395557

Rail transportation systems, which are commonly used in today's world, should be inspected at certain intervals for possible accidents. During the rail inspection, the physical vibration on rail lines causes a blurring effect on the images. Doing deblurring automatically requires information of blurring rates and specifying the parameters accordingly for deblurring. With this purpose, a test equipment which can move on rail lines and a camera system for the detection of blurring and deblurring is integrated with Inertial Measurement Unit (EMU) is promoted in this study. Then, with Attitude and Heading Reference System (AHRS) algorithm, the effect of blurring at the moment of the vibration is examined, point spread function (PSF) value is chosen dynamically and deblurring is achieved. In order to increase the accuracy rates of detection algorithms, a pretreatment method is proposed for detecting the blur effect and removing it.

关键词： Inertial Measurement Units Deblurring Rail Inspection AHRS image processing Anomaly Detect

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：