A Note on Evaluation of Image Recognition Systems

  • Herbert Tesser
  • Theron Trout
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)


The ability to systematically evaluate the results of automated image processing systems has been problematic. It remains so. In this work we address two issues in testing: 1) the use of incomplete and inaccurate reference data; and 2) we introduce a new, somewhat faster method of evaluating systems that recognize linear structures. We illustrate the latter using road and lines-of-communication recognition systems. We describe past work on evaluation systems and compare their strengths and weaknesses relative to the current work.


False Negative Rate Road Segment Versus Versus Versus Versus Versus Versus Versus Versus Versus Road Extraction 
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 2003

Authors and Affiliations

  • Herbert Tesser
    • 1
  • Theron Trout
    • 2
  1. 1.Marshall UniversityHuntingtonUSA
  2. 2.Strictly Business Computer SystemsHuntingtonUSA

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