Abstract
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.
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Keywords
- 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.
References
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© 2003 Springer-Verlag Berlin Heidelberg
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Tesser, H., Trout, T. (2003). A Note on Evaluation of Image Recognition Systems. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_9
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DOI: https://doi.org/10.1007/3-540-45103-X_9
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40601-3
Online ISBN: 978-3-540-45103-7
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