Using local deviations of vectorization to enhance the performance of raster-to-vector conversion systems

Abstract.

This paper presents a method of quantitatively measuring local vectorization errors that evaluates the deviation of the vectorization of arbitrary (regular and irregular) raster linear objects. This measurement of the deviation does not depend on the thickness of the linear object. One of the most time-consuming procedures of raster-to-vector conversion of large linear drawings is manually verifying the results. Performance of raster-to-vector conversion systems can be enhanced with auto- localization of places that have to be corrected. The local deviations can be used for testing results and automatically showing the parts of resulting curves where deviations are greater than a threshold value and have to be corrected.