Advanced real-time bus system for concurrent data paths used in high-performance image processing

被引:1
|
作者
Brodersen, J [1 ]
Palkovich, R [1 ]
Landl, D [1 ]
Fürtler, J [1 ]
Dulovits, M [1 ]
机构
[1] ARC Seibersdorf Res GmbH, High Performance Image Proc Dept, A-2444 Seibersdorf, Austria
来源
REAL-TIME IMAGING VIII | 2004年 / 5297卷
关键词
multi sensor; concurrent data paths; image acquisition; image processing; real time; time division multiplex; circuit switching; packet switching;
D O I
10.1117/12.525824
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
In this paper we present a new bus protocol satisfying extreme real time demands. It has been applied to a high performance quality inspection system which can involve up to eight sensors of various types. Thanks to the modular configuration this multi-sensor inspection system acts on the outside as a single sensor image processing system. In general, image processing systems comprise three basic functions (i) image acquisition, (ii) image processing and (iii) output of processed data. The data transfers for these three fundamental functions can be accomplished either by individual bus systems or by a single bus. In case of using a single bus the system complexity of the implementation, i.e. Development of protocols, hardware employment and EMC technical considerations, is far smaller. An important goal of the new protocol design is to support extremely fast communication between individual processing modules. For example, the input data (image acquisition) is transferred in real time to individual processing modules. Concurrent to this communication the processed data are being transferred to the output module. Therefore, the key function of this protocol is to realize concurrent data paths (data rates over 1.2 Gbit/s) by using principles of pipeline architectures and methods of time division multiplex. Moreover, the new bus protocol enables concurrent data transfers via a single bus system. In this paper the function of the new bus protocol including hardware layout and innovative bus arbiter are described in details.
引用
收藏
页码:278 / 286
页数:9
相关论文
共 50 条
  • [41] A review of HDL-based system for real-time image processing used in tumors screening
    Chiuchisan, Iuliana
    Geman, Oana
    2014 18TH INTERNATIONAL CONFERENCE SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2014, : 217 - 220
  • [42] SIMD massively parallel processing system for real-time image processing
    Chen, XC
    Zhang, M
    Yao, QD
    Liu, JL
    Ye, H
    Wu, S
    Li, DX
    Zhang, Y
    Ding, L
    Yao, ZY
    Yang, WJ
    Pan, QH
    INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING, 1998, 3545 : 596 - 599
  • [43] Platform for Automated Real-Time High Performance Analytics on Medical Image Data
    Allen, William J.
    Gabr, Refaat E.
    Tefera, Getaneh B.
    Pednekar, Amol S.
    Vaughn, Matthew W.
    Narayana, Ponnada A.
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2018, 22 (02) : 318 - 324
  • [44] Real-Time Data Acquisition and Processing System for MHz Repetition Rate Image Sensors
    Mielczarek, Aleksander
    Makowski, Dariusz Radoslaw
    Gerth, Christopher
    Steffen, Bernd
    Caselle, Michele
    Rota, Lorenzo
    ENERGIES, 2021, 14 (21)
  • [45] Safe Software Processing by Concurrent Execution in a Real-Time Operating System
    Raab, Peter
    Kraemer, Stefan
    Mottok, Juergen
    Meier, Hans
    Racek, Stanislav
    2011 INTERNATIONAL CONFERENCE ON APPLIED ELECTRONICS (AE), 2011,
  • [46] High Accuracy Concurrent Event Processing in Hard Real-Time Systems
    Wolfgang A. Halang
    Markus Wannemacher
    Real-Time Systems, 1997, 12 : 77 - 94
  • [47] High accuracy concurrent event processing in hard real-time systems
    Halang, WA
    Wannemacher, M
    REAL-TIME SYSTEMS, 1997, 12 (01) : 77 - 94
  • [48] Real-time processing of image data of ultraviolet annular imager
    Wu, W. (rainciomp@sina.com), 2013, Chinese Society of Astronautics (42):
  • [49] Portable Framework for Real-Time Parallel Image Processing on High Performance Embedded Platforms
    Eisserer, Clemens
    23RD EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING (PDP 2015), 2015, : 721 - 724
  • [50] Signal Processing Based Method for Real-Time Anomaly Detection in High-Performance Computing
    Dey, ArwIavo
    Islam, Tanzima
    Phelps, Chase
    Kelly, Christopher
    2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC, 2023, : 233 - 240