Orthogonal Zig-Zag: an algorithm for vectorizing engineering drawings compared with Hough Transform
Advances in Engineering Software
Veinerization: A New Shape Description for Flexible Skeletonization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sparse Pixel Vectorization: An Algorithm and Its Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sequential Operations in Digital Picture Processing
Journal of the ACM (JACM)
A Really Useful Vectorization Algorithm
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Smoothing and Compression of Lines Obtained by Raster-to-Vector Conversion
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Vectorization with the Voronoi L-diagram
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Reconstruction of orthogonal polygonal lines
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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In the paper, we analyze the vectorization methods and errors of vectorization of monochrome images obtained by scanning line drawings. We focused our attention on widespread errors inherent in many commercial and academic universal vectorization systems. This error, an error of parity, depends on scanning resolution, thickness of line, and the type of vectorization method. The method of removal of parity errors is suggested. The problems of accuracy, required storage capacity, and admissible slowing of vectorization are discussed in the conclusion.