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Engineering Drawing Database Retrieval Using Statistical Pattern Spotting Techniques

  • Stefan Müller
  • Gerhard Rigoll
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1941)

Abstract

An experimental mechanical engineering drawing database system, which allows a user to retrieve images by presenting sketches or shapes which represent details such as e.g. screws or holes, is presented in this paper. Due to the use of novel augmented pseudo 2-D Hidden Markov Models with filler states, images can be retrieved, where the detail that corresponds to the query is embedded in e.g. hatching or is connected to other elements in the image. The proposed technique achieves a good performance which is demonstrated by a number of query and retrieval examples in this paper.

Keywords

Hide Markov Model Discrete Cosine Transform Image Retrieval Query Image Viterbi Algorithm 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Stefan Müller
    • 1
  • Gerhard Rigoll
    • 1
  1. 1.Department of Computer Science, Faculty of Electrical EngineeringGerhard-Mercator-University DuisburgDuisburgGermany

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