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On KBCS approach in image processing, pattern recognition and computer vision

A report on activities at NCKBCST, ISI calcutta

  • Activities At The KBCS Nodal Centres
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Knowledge Based Computer Systems (KBCS 1989)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 444))

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Abstract

The paper presents briefly the highlights of the projects undertaken at the NCKBCST at ISI, Calcutta on the application of knowledge based approach on some image processing, pattern recognition and computer vision problems in relation to some real life applications. Application areas are development of KBCS for structural and lithological discrimination and an aid to mineral location targetting in collaboration with GSI, an expert CAD system for industrial inspection and verification, and KBCS approach to the hydrocarbon exploration problems. Some of sub-problems on which results or partial results will be indicated are 3-D shape analysis, recognition and positioning of partially occluded 3-D objects, AI technique with fuzzy evaluation method for feature subset selection in automatic pattern recognition, fractal based criteria to evaluate the performance of digital image magnification techniques, binary contour coding using Bezier approximation, heuristic procedure for preparing geological classification from satellite MSS data, optimal thresholds for a class of learning algorithms, and an associative network for single object representation and recognition.

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References

  1. Dutta Majumder D. "A Unified approach to artificial intelligence, pattern recognition, image processing, and computer vision in Fifth-Generation Computer Systems", Information Sciences 45, pp.391–431, 1988.

    Google Scholar 

  2. Dutta Majumder D. "Pattern recognition, image processing, artificial intelligence and computer vision in fifth generation computer systems", Sadhana, Proceedings of Indian Academy of Sciences, Bangalore 1986.

    Google Scholar 

  3. Moto-Oka T et al. "Challenge for knowledge information processing systems (preliminary report on FGCS)", Proceedings of the International Conference on FGCS, pp.1–85, October 1981.

    Google Scholar 

  4. "Application of pattern recognition and image processing techniques to geological mapping and mineral detection", Tech. Report, Electronics & Communication Sciences Unit, ISI, Calcutta, March 1989.

    Google Scholar 

  5. Bose P and Dutta Majumder D. "Expert CAD systems for industrial inspection and verification", unpublished internal memo, ECSU, ISI, Calcutta, November 1989.

    Google Scholar 

  6. Dutta Majumder D. "Artificial intelligence and expert systems — its role in industrial system development", invited lecture, National Symposium on Electronics and Applications, September 1989.

    Google Scholar 

  7. Bose P and Abraham J.A. "Test generation for programmable logic arrays", Proceedings, 19th Design Automation Conference, Las Vegas, pp.574–580, June 1982.

    Google Scholar 

  8. Bose P. "A novel technique for efficient parallel implementation of a classical logic/fault simulation problem", IEEE Trans. on Computers, December 1988.

    Google Scholar 

  9. Hanan M.A. and Kurtzberg J. "Placement techniques", Design Automation of Digital Systems: Theory and Techniques, Vol.1, Chap.5, Prentice-Hall N.J., pp.213–282, 1972.

    Google Scholar 

  10. Dutta Majumder D. and Parui S.K. "How to quantify shape distance for 2-D regions", Proceedings of 7th ICPR, 1982.

    Google Scholar 

  11. Parui S.K. and Dutta Majumder D. "A new definition of shape similarity", Pattern Recognition Letters, 1982.

    Google Scholar 

  12. Kundu M, Chowdhuri B.B. and Dutta Majumder D. "A generalized digital contour coding scheme", CVGIP, Vol.30, No.3, July 1985.

    Google Scholar 

  13. Dutta Majumder D. "Functional and Technical objectives of FGCS research", Institute of Engineers (India) Journal — Co., Vol.67, pp.1–10, September 1986.

    Google Scholar 

  14. Parui S.K. and Dutta Majumder D. "Symmetry analysis by Computer", Pattern Recognition, Vol.16, 1983.

    Google Scholar 

  15. Parui S.K. and Dutta Majumder D. "Shape similarity measures for open curves", Pattern Recognition letters, Vol.1, 1983.

    Google Scholar 

  16. Banerjee D.K., Parui S.K. and Dutta Majumder D. "Shape-Based object recognition", Proceedings of KBCS 1989, Bombay.

    Google Scholar 

  17. Ray Kumar S. and Dutta Majumder D. "Application of differential geometry to recognize and locate partially occluded objects", PRL 9, pp.351–360, June 1989.

    Google Scholar 

  18. Knoll T.F. and Jain R.C. "Recognizing partially vision objects using feature indexed hypotheses" IEEE J. Robotics and Automation 2(1),3 13, 1986.

    Google Scholar 

  19. Besl P.J. and Jain R.C. "Surface characterization for three-dimensional object recognition", RSD-TR-19-84, Center for Robotics and Integrated Manufacturing, Univ. of Michigan, Ann Arbor, December 1985.

    Google Scholar 

  20. Medioni G. and Yasumoto Y. "Corner detection and curve representation using cubic B-splines", Computer Vision, Graphics and Image Processing 39, pp.267–278, 1987.

    Google Scholar 

  21. Besl P.J. and Jain R.C. "An overview of three-dimensional object recognition", RSD-TR-19-84, Center for Robotics and Integrated Manufacturing, Univ. of Michigan, Ann Arbor, December 1984.

    Google Scholar 

  22. Ray Kumar S. and Dutta Majumder D. "Recognition and positioning of partially occluded 3D-objects", Unpublished report, ECSU, ISI, Calcutta 1989.

    Google Scholar 

  23. Pal S.K. and Chakraborty B. "Fuzzy set theoretic measure for automatic feature evaluation", IEEE Trans. Syst. Man and Cybern, Vol.SMC-16, pp.754–760, 1986.

    Google Scholar 

  24. Cover T.M. "The best two independent measurements are not the two best", IEEE Trans. Syst., Man and Cybern, 4, pp.116–117, 1974.

    Google Scholar 

  25. Narendra P.M. and Fukunaga K. "A branch and bound algorithm for feature subset selection", IEEE Trans.Comput.Vol.C-26, pp.917–922, September 1977.

    Google Scholar 

  26. Chakraborty B and Dutta Majumder D. "An application of A.I.Technique to the problem of feature subset selection for automatic pattern recognition system", National Conf. on Electronic Circuit and Systems, Roorkee, November 1989.

    Google Scholar 

  27. Leberl F. "Photogrammetic interpolation", Photogrametric Engg. and Remote Sensing 41, pp.603–612, 1975.

    Google Scholar 

  28. Simon K.W. "Digital image reconstruction and resampling for geometric manipulation", Proc. IEEE Symp.on Machine Processing of Remotely Sensed Data, June 3–5, 3A-1-3A-11, 1975.

    Google Scholar 

  29. Schlien S. "Geometric correction, registration and resampling of Landsat imagery", Canad. J. Remote Sensing 5, 74–89, 1979.

    Google Scholar 

  30. Park S.K. and Schowengerdt R.A. "Image reconstruction by parametric cubic convolution", Comp.Vision, Graphics and Image Processing 23, pp.258–272, 1983.

    Google Scholar 

  31. Lalitha L. and Dutta Majumder D. "Fractal based criteria to evaluate the performance of digital image magnification techniques", PRL 9 67 75, North-Holland, January 1989.

    Google Scholar 

  32. Pentland A.P. "Fractal based description of natural scenes", IEEE Trans. Pattern Anal.Machine Intell., 6, pp.661–674, 1984.

    Google Scholar 

  33. Biswas S.N., Pal S.K. and Dutta Majumder D. "Binary contour coding using Bezier approximation", PRL 8, pp.237–249, North-Holland, November 1988.

    Google Scholar 

  34. Pathak A. and Pal S.K. "A generalized learning algorithm based on guard zones", PRL 4, pp.63–69, 1986.

    Google Scholar 

  35. Pal S.K., Pathak A. and Basu C. "Dynamic guard zone for self-supervised learning", PRL 7, pp.135–144, 1988.

    Google Scholar 

  36. Pal A. "Optimum thresholds for a class of learning algorithms", National Conf. on electronic Circuit and Systems, Roorkee, November 1989.

    Google Scholar 

  37. Gangadharan K. "Simulator for a parallel and distributed processing system", M.Tech. Dissertation, Computer Science, ISI, Calcutta, July 1989.

    Google Scholar 

  38. Sarkar N. "Semantic network and highlevel computer vision", M.Tech. dissertation, Computer Science, ISI, Calcutta 1989.

    Google Scholar 

  39. Hogger C.J. "Derivation of logic programs", JACM, Vol.28, No.2, April 1981.

    Google Scholar 

  40. Basu S. and Dutta Majumder D. "Procedural knowledge and logic programming", Unpublished internal report, ECSU, ISI, Calcutta 1988.

    Google Scholar 

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Authors and Affiliations

  1. National Center for Knowledge Based Computing Electronics & Communication Sciences Unit, Indian Statistical Institute, 700 035, Calcutta, India

    D. Dutta Majumder

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  1. D. Dutta Majumder
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Editor information

S. Ramani R. Chandrasekar K. S. R. Anjaneyulu

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© 1990 Springer-Verlag Berlin Heidelberg

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Dutta Majumder, D. (1990). On KBCS approach in image processing, pattern recognition and computer vision. In: Ramani, S., Chandrasekar, R., Anjaneyulu, K.S.R. (eds) Knowledge Based Computer Systems. KBCS 1989. Lecture Notes in Computer Science, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018407

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  • DOI: https://doi.org/10.1007/BFb0018407

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  • Print ISBN: 978-3-540-52850-0

  • Online ISBN: 978-3-540-47168-4

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