Abstract
In this paper we discuss some of the problems of computer interpretation of medical ultrasound images and the use of an expert system to control the image processing and model matching. We describe an expert system shell developed for this task and detail our preliminary application to an ultrasound scan. We model the anatomical and geometric structures involved as a network of frames. This and the model-matching control strategy we have employed are discussed. An example of how the strategy operates is given with reference to example images and attention is drawn to the feedback aspects of the control mechanism. Finally, possible improvements and enhancements to the work are considered.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Preview
Unable to display preview. Download preview PDF.
7. Bibliography
Baldock R.A., J. Ireland and S.J. Towers, “SBS User Guide”, MRC CAPCU internal report (1987a)
Baldock R.A., J. Ireland and S.J. Towers, “A Pilot Study of Knowledge-Based Control for Image Processing”, MRC CAPCU internal report (1987b)
Ballard D.H. and C.M. Brown, “Computer Vision” (Prentice-Hall, New Jersey; 1982)
Brooks R.A., “Symbolic Reasoning Among 3-D Models and 2-D Images”, Artificial Intelligence 17 (1981) 285–348
Clark P., “Rule-Based Systems in Image Processing”, Turning Institute report (1987) unpublished.
Ensor J.R. and J.D. Gabbe, “Transactional Blackboards” Art. Intell. in Eng. 1 (1986) 80–84
Erman J.R., F. Hayes-Roth, V.R. Lesser and R. Reddy, “The Hearsay-II Speech Understanding System: Integrating Knowledge to Resolve Uncertainty”, ACM Computing Surveys 12 (1980) 213–253
Fisher R.B. and M.J.L. Orr, “Solving Geometric Constraints in a Parallel Network”, Proc. of 3rd Alvey Vision Conf., Cambridge (1987) 87–95
Hayes-Roth B., “A Blackboard Architecture for Control”, Artificial Intelligence 26 (1985) 251–321
Minsky M., “The Psychology of Computer Vision” ed P. Winston (McGraw Hill, NY; 1975)
Nii H.P. and E.A. Fiegenbaum, “Rule-Based Understanding of Signals in Pattern Directed Inference Systems” (Academic Press; 1978)
Orr M.J.L. and R.B. Fisher, “Geometric Reasoning for Computer Vision”, Image and Vision Computing 5 (1987) 233–238
Rake S.T. and L.D.R. Smith, “The Interpretation of X-ray Angiograms using a Blackboard Control Architecture”, Proceedings of the Symposium on Computer Assisted Radiology (Springer-Verlag, Berlin; 1987) to be published
Russell G.T. and D.M. Lane, “A Knowledge-Based System Framework for Environmental Perception in a Subsea Robotics Context”, IEEE J. of Oceanic Eng. OE-11 (1986) 401–412
Towers S.J., “Frames as Data Structures for SBS”, MRC CAPCU internal report (1987)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1988 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Baldock, R., Towers, S. (1988). First steps towards a blackboard controlled system for matching image and model in the presence of noise and distortion. In: Kittler, J. (eds) Pattern Recognition. PAR 1988. Lecture Notes in Computer Science, vol 301. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19036-8_43
Download citation
DOI: https://doi.org/10.1007/3-540-19036-8_43
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-19036-3
Online ISBN: 978-3-540-38947-7
eBook Packages: Springer Book Archive