Abstract
This paper describes a novel approach for extracting a library of symbols from a large collection of line drawings. This symbol library is a compact and indexable representation of the line drawings. Such a representation is important for efficient symbol retrieval. The proposed approach first identifies the candidate patterns in all images, and then it clusters the similar ones together to create a set of clusters. A representative pattern is chosen from each cluster, and these representative patterns form a library of symbols. We have tested our approach on a database of line drawings, and it achieved high accuracy in capturing and representing the contents of the line drawings.
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Nayef, N., Breuel, T.M. (2013). Building a Symbol Library from Technical Drawings by Identifying Repeating Patterns. In: Kwon, YB., Ogier, JM. (eds) Graphics Recognition. New Trends and Challenges. GREC 2011. Lecture Notes in Computer Science, vol 7423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36824-0_7
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DOI: https://doi.org/10.1007/978-3-642-36824-0_7
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