Real-time image processing system design for multi-processor architectures

Holger Lange

doi:10.1117/12.354698

21 July 1999 Real-time image processing system design for multi-processor architectures

Holger Lange

Proceedings Volume 3716, Visual Information Processing VIII; (1999) https://doi.org/10.1117/12.354698
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

Real time image processing systems are very complex real time systems that challenge the limitations of hardware resources. Typically, real time image processing systems are implemented on pipeline or multi processor architectures. For multi processor architectures were distinguish shared memory and/or inter processor communication links for the communication. In the following paper we present a system design for real time image processing systems on multi processor architectures using inter processor communication links for the communication. The paper focuses on the specific design issues important for real time image processing systems. A detailed overview over the complete design is given by presenting the following topics: hardware topology, programming model, inter processor communication, image processing infrastructure and image processing. The system design is illustrated using the ground to ground ATDT system developed by Computing Devices Canada for its Fire- Control and Surveillance products.

Citation Download Citation

Holger Lange "Real-time image processing system design for multi-processor architectures", Proc. SPIE 3716, Visual Information Processing VIII, (21 July 1999); https://doi.org/10.1117/12.354698

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available