Efficient Analysis of Dynamic Images Using Plans

  • S. Tsuji
  • M. Yachida


A wide variety of processes which are observed in experiments in medicine and biology are recorded on video tape or cine film as dynamic (moving) images. Analysis of these images, however, is a tedious task for human beings who must screen a large number of frames to discover the patterns of pertinent features and measure their parameters. In recent years, computer analysis of moving images, such as motion analysis of the heart as reported by Kaneko and Mancini (1973) and by Jong and Slager (1974) or of micro organisms (Greeves, 1975, and Ariki et al., 1977) has been investigated for the purpose of reducing human labor and extracting more reliable information.


Analysis Region Consecutive Frame Video Tape Subsequent Frame Heart Wall 
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.


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  1. Ariki, Y., Kanade, T., and Sakai, T., “An Interactive Image Modeling and Tracing System for a Time-Varying Image Pattern,” TGPRL77-61, Institute of Electronics and Communications Engineers of Japan (1977) (in Japanese).Google Scholar
  2. Chow, W. K., and Aggrawal, J. K., “Computer Analysis of Planar Curvilinear Moving Images,” IEEE Trans. Comput. C-26:179–185 (1977).CrossRefGoogle Scholar
  3. Greaves, J. O., “The Software Structure for Reduction of Quantized Video Data of Moving Organisms,” Proc. IEEE 63:1415–1425 (1975).CrossRefGoogle Scholar
  4. Jong, L. P., and Slager, C. J., “Automatic Detection of the Left Ventricular Outline in Angiographs Using Television Signal Processing Technique,” IEEE Trans. Biomed. Engrg. BME-22: 230–237 (1975).CrossRefGoogle Scholar
  5. Kaneko, T., and Mancini, P., “Straight-Line Approximation for the Boundary of the Left Ventricular Chamber from a Cardiac Cineangiogram,” IEEE Trans. Biomed. Engrg. BME-20:413–416 (1973).CrossRefGoogle Scholar
  6. Martelli, A., “An Application of Heuristic Search Methods to Edge and Contour Detection,” Comm. ACM 19:73–83 (1976).MATHCrossRefGoogle Scholar
  7. Montanari, U., “On the Optimal Detection of Curves in Noisy Pictures,” Comm. ACM 14:335–345 (1971).MATHCrossRefGoogle Scholar
  8. Yachida, M., Asada, M., and Tsuji, S., “Automatic Motion Analysis System of Moving Objects from the Records of Natural Processes,” Proc. 4th Int. Joint Conf. Pattern Recogn., Kyoto (1978).Google Scholar
  9. Yachida, M. et al., “An Interactive System for Digital Processing of Moving Images,” Trans, of Institute of Electronics and Communications Engineers of Japan J61D (Oct. 1978) (in Japanese).Google Scholar

Copyright information

© Plenum Press, New York 1980

Authors and Affiliations

  • S. Tsuji
    • 1
  • M. Yachida
    • 1
  1. 1.Department of Control EngineeringOsaka UniversityToyonaka, Osaka 560Japan

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