DocumentCode
2621281
Title
Automatic flow control planning for real-time image processing devices
Author
Melchert, Wolfgang
Author_Institution
Fraunhofer-Inst. fur Inf.- und Datenverarbeitung, Karlsruhe, Germany
Volume
3
fYear
1996
fDate
16-19 Sep 1996
Firstpage
643
Abstract
High performance vision systems have a complex architecture which makes them difficult to program. The objective of the ARVISA (Advanced Real-time VIsion System Architecture) project was to facilitate the programming of such systems by providing an integrated application development environment. Its central component is the automatic flow control planner (FCP). Using the FCP, image processing algorithms can be specified in a device-independent, functional manner. These specifications are then automatically transformed into an executable control program for the desired target device. By examining industrial vision applications, it has been shown that the results of automatic planning by the FCP are comparable to those of manual planning by human experts, but they are created in much less time. The FCP thus offers a significant improvement of efficiency for the programming of real-time vision systems
Keywords
automatic programming; computer vision; production; real-time systems; ARVISA project; Advanced Real-time Vision System Architecture; automatic flow control planner; automatic flow control planning; automatic visual inspection systems; executable control program; high performance vision systems; image processing algorithms; industrial production; industrial vision applications; integrated application development environment; real-time image processing devices; real-time vision systems programming; Automatic control; Cameras; Hardware; Humans; Image processing; Job shop scheduling; Machine vision; Process planning; Real time systems; Robot vision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.560577
Filename
560577
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