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A matching scheme to enhance performance evaluation of raster-to-vector conversion algorithms

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1 Author(s)
X. Hilaire ; LORIA-INPL, Villers les Nancy, France

This paper deals with performance evaluation of raster-to-vector conversion algorithms. We briefly review the past work, and focus our attention on a method proposed by Phillips and Chhabra (1999). We show that the matching algorithm used in their method can be improved by introducing new metrics and reformulating the problem as a combinatorial optimization scheme. Improvements brought by our approach are the reduction of the number of utilized thresholds to one, and a gain of stability in the obtained results. We also propose an algorithm to solve the scheme, and compare the evaluation results obtained with both methods on real CAD drawings.

Published in:

Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on

Date of Conference:

3-6 Aug. 2003