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From Raster to Vectors: Extracting Visual Information from Line Drawings
<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>
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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
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... nique, to enable a judicious decision while selecting a vectorisation algorithm for a system under development or a newly developed vectorisation algorithm.
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