Abstract
Empirical performance evaluation of raster to vector conversion is a means of judging the quality of line detection algorithms. Many factors may affect line detection. This paper aims to study scanning resolution of raster images and its effects on the performance of line detection. Test images with three different scanning resolutions (200, 300, and 400 DPI) are vectorised using available raster to vector conversion software. The Vector Recovery Index scores calculated with reference to the ground truth images and the detected vectors are then obtained. These values are analysed statistically in order to study the effects of different scanning resolutions. From the results, Vextractor is found to be better (on average) compared to VPstudio and Scan2CAD. For all the three resolutions, Vextractor and VPstudio perform better than Scan2CAD. Different scanning resolutions affect the software differently. The performance of Vextractor and VPstudio increases from low resolution to moderate resolution, and then decreases with high resolution. The performance of Scan2CAD decreases with the increase in the resolutions.
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Al-Douri, B.A.T., Al-Khaffaf, H.S.M., Talib, A.Z. (2011). Empirical Performance Evaluation of Raster to Vector Conversion with Different Scanning Resolutions. In: Badioze Zaman, H., et al. Visual Informatics: Sustaining Research and Innovations. IVIC 2011. Lecture Notes in Computer Science, vol 7066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25191-7_17
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DOI: https://doi.org/10.1007/978-3-642-25191-7_17
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