Raster-to-vector conversion: problems and tools towards a solution a map segmentation application

Vinciane Lacroix

doi:10.1109/ICAPR.2009.96

Raster-to-vector conversion: problems and tools towards a solution a map segmentation application

Vinciane Lacroix

Communication, Information, Systems and Sensors

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

After the analysis of the problems a raster-to-vector (R2V) software can meet, a strategy involving a pre-processing, a clustering, a labeling and finally a vectorization phase is proposed. Much emphasis is put on the clustering and the labeling phases which depend on the pixel type (edge, line, or other). In particular, it is suggested to use the medianshift on all the pixels but the edgels to extract the main colors. Results are shown on scanned maps.

Original language	English
Title of host publication	Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009
Pages	318-321
Number of pages	4
DOIs	https://doi.org/10.1109/ICAPR.2009.96
Publication status	Published - 2009
Event	7th International Conference on Advances in Pattern Recognition, ICAPR 2009 - Kolkata, India Duration: 4 Feb 2009 → 6 Feb 2009

Publication series

Name	Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009

Conference

Conference	7th International Conference on Advances in Pattern Recognition, ICAPR 2009
Country/Territory	India
City	Kolkata
Period	4/02/09 → 6/02/09

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10.1109/ICAPR.2009.96

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Lacroix, V. (2009). Raster-to-vector conversion: problems and tools towards a solution a map segmentation application. In Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009 (pp. 318-321). Article 4782800 (Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009). https://doi.org/10.1109/ICAPR.2009.96

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title = "Raster-to-vector conversion: problems and tools towards a solution a map segmentation application",

abstract = "After the analysis of the problems a raster-to-vector (R2V) software can meet, a strategy involving a pre-processing, a clustering, a labeling and finally a vectorization phase is proposed. Much emphasis is put on the clustering and the labeling phases which depend on the pixel type (edge, line, or other). In particular, it is suggested to use the medianshift on all the pixels but the edgels to extract the main colors. Results are shown on scanned maps.",

author = "Vinciane Lacroix",

year = "2009",

doi = "10.1109/ICAPR.2009.96",

language = "English",

isbn = "9780769535203",

series = "Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009",

pages = "318--321",

booktitle = "Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009",

note = "7th International Conference on Advances in Pattern Recognition, ICAPR 2009 ; Conference date: 04-02-2009 Through 06-02-2009",

}

Lacroix, V 2009, Raster-to-vector conversion: problems and tools towards a solution a map segmentation application. in Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009., 4782800, Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009, pp. 318-321, 7th International Conference on Advances in Pattern Recognition, ICAPR 2009, Kolkata, India, 4/02/09. https://doi.org/10.1109/ICAPR.2009.96

Raster-to-vector conversion: problems and tools towards a solution a map segmentation application. / Lacroix, Vinciane.
Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009. 2009. p. 318-321 4782800 (Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - After the analysis of the problems a raster-to-vector (R2V) software can meet, a strategy involving a pre-processing, a clustering, a labeling and finally a vectorization phase is proposed. Much emphasis is put on the clustering and the labeling phases which depend on the pixel type (edge, line, or other). In particular, it is suggested to use the medianshift on all the pixels but the edgels to extract the main colors. Results are shown on scanned maps.

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Raster-to-vector conversion: problems and tools towards a solution a map segmentation application

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