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• OAI收割 [15]

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浏览/检索结果: 共15条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序作者升序作者降序 Novel methods for locating and matching IC cells based on standard cell libraries 期刊论文  OAI收割 MICROELECTRONIC ENGINEERING, 2024, 卷号: 283, 页码: 12 作者:  Liu, Can;  Wang, Kaige;  Li, Qing;  Zhao, Fazhan;  Zhao, Kun   |  收藏  |  浏览/下载：34/0  |  提交时间：2024/02/22 Reverse engineering  Integrated circuits  Scanning electron microscopy  Image processing  Hardware security   Image Processing Algorithm Design for Low-Light EBCMOS Devices Based on FPGA 会议论文  OAI收割 Hybrid, Wuhan, China, 2023-12-22 作者:  Cao, Yi;  Wei, Na;  Zhu, Xiangping;  Ma, Jun   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/07/16 Field-Programmable Gate Array (FPGA)  Algorithm Architecture  Image Processing  Hardware Acceleration  Hardware Description Language  EBCMOS   Hardware-Oriented Algorithm for High-Speed Laser Centerline Extraction Based on Hessian Matrix 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 14 作者:  Li, Zhikai;  Ma, Liping;  Long, Xianlei;  Chen, Yunze;  Deng, Haitao   |  收藏  |  浏览/下载：53/0  |  提交时间：2022/03/17 Hardware image processing  Hessian matrix  high-speed vision  laser centerline extraction  line-section 3-D reconstruction   Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations 期刊论文  OAI收割 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 2, 页码: 332-343 作者:  Gan, Yuquan;  Hu, Bingliang;  Liu, Weihua;  Wang, Shuang;  Zhang, Geng   |  收藏  |  浏览/下载：82/0  |  提交时间：2019/03/14 geophysical image processing  feature extraction  hyperspectral imaging  spectral analysis  hyperspectral imagery  QR factorisation  givens rotations  spectral unmixing  material spectral signatures  hyperspectral endmember extraction algorithm  popular endmember extraction methods  EEGR  vertex component analysis  VCA  maximum volume by householder transformation  MVHT  hardware features   Electronics design of the airborne stabilized platform attitude acquisition module 会议论文  OAI收割 SuZhou, China, October 20, 2013 - October 29, 2013 作者:  Bu, Hongyi;  Xu, Jiang;  Li, Xingni;  Zhang, Zhanwei;  Wang, Hao   |  收藏  |  浏览/下载：41/0  |  提交时间：2017/09/29 Design  Data Processing  Hardware  Mems  Mergers And Acquisitions  Modular Construction  Optical Image Storage  Remote Sensing   Designing and development of multi-DSP real-time image processing system based on FPGA (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011, December 24, 2011 - December 26, 2011, Harbin, China Wei H. 收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25 To improve the image processing system of resolution capability and reliability  image processing system in a growing number of multi-sensor model. In this mode  the use of the current main stream single DSP + FPGA hardware architecture for image processing algorithms have already unable to meet the operational requirements of real-time. This paper proposed a new hardware architecture that is the three DSPs based on FPGA. With the traditional master-slave architectures is different  three DSP's external interfaces are connected with FPGA and other peripheral interfaces are connected to the FPGA. In the architecture  DSP is in the same position three and FPGA flow control for data management and other function to achieve. This connection has a strong restructuring and expansion  software development and more flexible. 2011 IEEE.   Design of real-time small target detection system for infrared image based on FPGA (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Optics, Photonics and Energy Engineering, OPEE 2010, May 10, 2010 - May 11, 2010, Wuhan, China 作者:  Liu J.;  Sun Q.;  Wang J.;  Ye X.;  Xu H. 收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25 A simple detection measurement is developed for realtime small target detection in infrared background  which can be easily available on FPGA. Basing on the difference between target and background  a predictive background is generated via restraining the infrared background with median filter  and then global threshold segmentation is used to residual image for further processing. Taking advantage of the relationship of targets in frames  a comprehensive analysis of residual image is made  and then the precise position of target is got by removing pseudo-objectives. Experiment results show that the method is simple to apply to hardware system  improve the system's false alarm rate and meet the requirements of practical engineering. 2010 IEEE.   A digital image processing system based on DSP (EI CONFERENCE) 会议论文  OAI收割 2nd International Conference on Information Engineering and Computer Science, ICIECS 2010, December 25, 2010 - December 26, 2010, Wuhan, China 作者:  Liu Y.;  He X.;  Liu Y.;  Liu Y. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 In order to detect the target position real-timely  a real time target detecting system based on tms320F2812 DSP and Spartan3-SC3S400 FPGA is designed. The design  hardware structure  a target detecting method and software char flow of FPGA and DSP are presented. The system is tested by a 1Kx1K image  the processing time is 1.3ms  experiments results show that the method is feasible  the simple design and stable correct results make this method very ascendant in practical application. 2010 IEEE.   Image parallel processing based on GPU (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States 作者:  Wang J.-L.;  Wang J.-L. 收藏  |  浏览/下载：36/0  |  提交时间：2013/03/25 In order to solve the compute-intensive character of image processing  based on advantages of GPU parallel operation  parallel acceleration processing technique is proposed for image. First  efficient architecture of GPU is introduced that improves computational efficiency  comparing with CPU. Then  Sobel edge detector and homomorphic filtering  two representative image processing algorithms  are embedded into GPU to validate the technique. Finally  tested image data of different resolutions are used on CPU and GPU hardware platform to compare computational efficiency of GPU and CPU. Experimental results indicate that if data transfer time  between host memory and device memory  is taken into account  speed of the two algorithms implemented on GPU can be improved approximately 25 times and 49 times as fast as CPU  respectively  and GPU is practical for image processing. 2010 IEEE.   Design of image interpretation and data-processing system based on SOPC (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Wang Z.-Q.; Liu Z.-R.; Xie M.-J. 收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25 In order to follow the development of image interpretation and data-processing system in photoelectric measurement equipments  a kind of hardware acceleration system is designed where MIMD distributed multi-processor architecture is used with SOPC technology. System hardware is composed of FPGA  SDRAM  SRAM  FLASH  and PCI bridge chip. Four Nios II embedded processors are integrated in a single FPGA chip  and communicate with each other by sharing memory. Experimental results indicate that the system meets the requirements of data-processing system in photoelectric measurement equipments and possesses practical significance for engineering applications. 2010 IEEE.