Vectorization with the Voronoi L-diagram

Edinburgh, Scotland August 03-August 06

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http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227812

Seventh International Conference on D ...

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	A. Gribov, E. Bodansky, "Vectorization with the Voronoi L-diagram," Document Analysis and Recognition, International Conference on, vol. 2, pp. 1015, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003.

	BibTex	x
	@article{ 10.1109/ICDAR.2003.1227812, author = {A. Gribov and E. Bodansky}, title = {Vectorization with the Voronoi L-diagram}, journal ={Document Analysis and Recognition, International Conference on}, volume = {2}, year = {2003}, isbn = {0-7695-1960-1}, pages = {1015}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227812}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Vectorization with the Voronoi L-diagram SN - 0-7695-1960-1 SP EP A1 - A. Gribov, A1 - E. Bodansky, PY - 2003 KW - Vectorization KW - distance transformation KW - dense skeleton KW - medial axis KW - centerline KW - L-veinerization VL - 2 JA - Document Analysis and Recognition, International Conference on ER -

A. Gribov, ESRI, Inc.

E. Bodansky, ESRI, Inc.

A new precision vectorization method has been developed for building centerlines of plain shapes. First a dense skeleton is computed. Centerlines are obtained as a subset of branches of the dense skeleton. The dense skeleton can also be used for obtaining medial axes of shapes. To obtain high precision, the distance transformation 12-17-38 was developed, which gives a good approximation of the Euclidean metrics. The expression the Voronoi L-diagram was coined.

Index Terms:

Vectorization, distance transformation, dense skeleton, medial axis, centerline, L-veinerization

Citation:

A. Gribov, E. Bodansky, "Vectorization with the Voronoi L-diagram," icdar, vol. 2, pp.1015, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003

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