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  • Map processing  (1)
  • 1995-1999  (1)
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  • 1995-1999  (1)
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    Springer
    Machine vision and applications 8 (1995), S. 173-178 
    ISSN: 1432-1769
    Keywords: Template matching ; Symbol recognition ; Entropy-based methods ; Map processing
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract In applications based on template matching, the design of the template is a critical point and has a considerable effect on the overall performance that can be obtained. In this paper we present a method, applicable to binary images, for extracting robust templates. Starting from a provisional prototype (defined as the image that minimizes its overall distance from the samples of a training set), the template is obtained by eliminating unreliable pixels determined by means of an entropy-based criterion. The method is compared experimentally with the matched filtering technique in the recognition of symbols on topographic maps and shows promising results regarding the recognition rate and the computational cost of the matching process.
    Type of Medium: Electronic Resource
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