From Raster to Vectors: Extracting Visual Information from Line Drawings

Liu Wenyin, Dov Dori
<span title="">1999</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/at6h2du27zgp5hrmgtzl2rteea" style="color: black;">Pattern Analysis and Applications</a> </i> &nbsp;
Vectorisation of raster line images is a relatively mature subject in the document analysis and recognition field, but it is far from being perfect as yet. We survey the methods and algorithms developed to-date for the vectorisation of document images, and classify them into six categories: Hough transform-based, thinning-based, contour-based, run-graph-based, mesh-pattern-based, and sparse-pixelbased. The purpose of the survey is to provide researchers with a comprehensive overview of this
more &raquo; ... nique, to enable a judicious decision while selecting a vectorisation algorithm for a system under development or a newly developed vectorisation algorithm.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s100440050010">doi:10.1007/s100440050010</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rrvdqkumofef5i6nwqcbneqrx4">fatcat:rrvdqkumofef5i6nwqcbneqrx4</a> </span>
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