From Raster to Vectors: Extracting Visual Information from Line Drawings |
| |
Authors: | Liu Wenyin Dov Dori |
| |
Affiliation: | (1) Microsoft Research, Beijing, PR China, CN;(2) Department of Computer Science and Technology, Tsinghua University, Beijing, PR China, CN;(3) Faculty of Industrial Engineering and Management, Technion – Israel Institute of Technology, Haifa, Israel, IL |
| |
Abstract: | 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-pixel-based. The purpose of the survey is to provide researchers with a comprehensive overview of this technique, to enable a judicious decision while selecting a vectorisation algorithm for a system under development or a newly developed vectorisation algorithm. Received: 10 November 1998?Received in revised form: 7 January 1999?Accepted: 7 January 1999 |
| |
Keywords: | : Document analysis and recognition Line drawings Polygonalisation Raster-to-vector Thinning Vectorisation |
本文献已被 SpringerLink 等数据库收录! |
|