This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
VISTA: Visual Interpretation System for Technical Applications-Architecture and Use
May 1988 (vol. 10 no. 3)
pp. 399-407

The present state of the construction of a vision system for the fast interpretation of complicated industrial scenes is reported. The system is being built at the Fraunhofer Institute for Information and Data Process in Karlsruhe, West Germany. The scenes for which the system is intended are also presented. They form the basis for specifying the requirements for the system called VISTA. Its principal architecture as a bus-oriented multiprocessor system is discussed. Some special hardware modules of VISTA are described in more detail, and its basic software concept is introduced. As an application, detection and classification of defects that appear in automatic visual inspection of hard wood are reviewed. Using special modules for the iconic and the symbolic stage, VISTA is capable of real-time processing and evaluation of endless images, image sequences, images of various formats, and multisensorial data.

[1] R. K. Miller,Machine Vision for Robotics and Automated Inspection. 3rd ed. Fort Lee, NJ: Technical Insights, 1985, 3 vols.
[2] Tech Tran Consultants, Inc.,Machine Vision Systems: A Summary and Forecast, 2nd ed. Lake Geneva, Switzerland: Tech Tran Corp., 1985.
[3] S. Yalamanchili, K. V. Palem, L. G. Davis, A. J. Welch, and J. K. Aggarwal, "Image processing architectures: A taxonomy and survey," inProgress in Pattern Recognition 2. L. N. Kanal and A. Rosenfeld, Eds. Amsterdam, The Netherlands: Elsevier Science, 1985, pp. 1-37.
[4] W. Enkelmann, R. Kories, H.-H. Nagel, and G. Zimmerman, "An experimental investigation of estimation approaches for optical flow fields," inMotion Understanding: Robot and Human Vision, W. N. Martin and J. K. Aggarwal. Eds. Kluver Academic, 1986.
[5] R. Kories and G. Zimmermann, "A versatile method for the estimation of displacement vector fields from image sequences," inProc. Workshop Motion: Representation Anal., Kiawah Island Resort. Charleston, SC, May 7-9, 1986, pp. 101-106.
[6] W. Poelzleitner, "A Hough transform method to segment images of wooden boards," inProc. 8th Int. Conf. Pattern Recognition (ICPR). Paris, France, Oct. 1986.
[7] R. W. Conners, C. W. McMillin, and R. Vasquez-Espinosa, "A prototype software system for locating and identifying surface defects in wood," inProc. 7th Int. Conf. Pattern Recognition (ICPR), Montreal, P.Q., Canada, Aug. 1984.
[8] I. Moring and O. Silvén, "Automatic visual wood inspection: Experiments," inProc. Finnish Artif. Intell. Symp. STIP 86, Vol. 2, Ottaniemi Espoo, Finland, Aug. 1986, pp. 290-294.
[9] H. Geißelmann, W. Hättich, and S. Tatari, "The vision-system VISTA--An answer to the multiplicity of requirements in industrial applications,"Fachberichte Messen, Steuern, Regeln, vol. 14, pp. 166-175, 1986.
[10] S. Tatari and W. Hättich, "Automatic recognition of defects in wood," inSPIE Proc. Adv. Image Processing, Vol. 804, 1987, pp. 229-236.
[11] S. Tatari, "Selection and parametrization of texture analysis methods for the automation of industrial visual inspection tasks,"Appl. Digital Image Processing X, SPIE Proc. 31st Annu. Int. Tech. Symp., San Diego, CA, Aug. 1987, pp. 86-94.

Index Terms:
computer vision; computerised pattern recognition; wood inspection; VISTA; visual interpretation system; bus-oriented multiprocessor system; automatic visual inspection; real-time processing; image sequences; computer architecture; computer vision; computerised pattern recognition; inspection; real-time systems
Citation:
D. Paul, W. Hättich, W. Nill, S. Tatari, G. Winkler, "VISTA: Visual Interpretation System for Technical Applications-Architecture and Use," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 3, pp. 399-407, May 1988, doi:10.1109/34.3904
Usage of this product signifies your acceptance of the Terms of Use.