Digital Image Processing in Medicine

  • R. S. Ledley
  • L. S. Rotolo
  • T. J. Golab
Chapter
Part of the Strathclyde Bioengineering Seminars book series (KESE)

Abstract

Many medical diagnostic methods depend upon the examination of images related to possible pathological processes going on in the patient. Examples are ordinary X-rays, fluoroscopic angiography, microscopic histological sections, computerised tomographs, electro-encephalographic recordings, ocular motor-reflex patterns. Automatic computer methods can be used to assist in the evaluation of such images by applying one or more of the following procedures: recording, displaying in a controllable manner and enhancing the images, automatically extracting information from them.

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References

  1. Ledley, R. S., Kulkarni, Y. G., Park, C. M., Shiu, M. R. and Rotolo, L. S. (1978a). TEXAC: a powerful new picture pattern recognition computer. Proc. IEEE Comput. Soc. Conf. Pattern Recognition and Image Processing, Chicago, pp. 396–401.Google Scholar
  2. Ledley, R. S., Kulkarni, Y. G., Park, C. M., Shiu, M. R. and Rotolo, L. S. (1978b). TEXAC/PICTOL: a texture analysis computer and its special purpose language. Proc. Assoc. Comput Mach., Washington, pp. 698–703.Google Scholar
  3. Ledley, R. S., Kulkarni, Y. G., Park, C. M., Shiu, M. R. and Rotolo, L. S. (1978c). Whole picture analysis with TEXAC. Assoc. Comput. Mach. 17th Ann. Tech. Symp., Gaithersburg, pp. 133–138.Google Scholar

Copyright information

© Bioengineering Unit, University of Strathclyde 1982

Authors and Affiliations

  • R. S. Ledley
  • L. S. Rotolo
  • T. J. Golab

There are no affiliations available

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