Robust and Accurate Vectorization of Line Drawings
Identifieur interne : 005F48 ( Main/Exploration ); précédent : 005F47; suivant : 005F49Robust and Accurate Vectorization of Line Drawings
Auteurs : Xavier Hilaire ; Karl TombreSource :
- IEEE Transactions on Pattern Analysis and Machine Intelligence ; 2005.
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Abstract
This paper presents a method for vectorizing the graphical parts of paper-based line drawings. The method consists in separating the input binary image into layers of homogeneous thickness, skeletonizing each layer, segmenting the skeleton by a method based on random sampling, and simplifying the result. The segmentation method is robust with a best bound of 50% noise reached for indefinitely long primitives. Accurate estimation of the recognized vector's parameters is enabled by explicitely computing their feasibility domains. Theoretical performance analysis and expression of the complexity of the segmentation method are derived. Experimental results and comparisons with other vectorization systems are also provided.
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