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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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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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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52850-0

  • Online ISBN: 978-3-540-47168-4

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